Computational Systems and Methods for Locating a Mobile Device

Abstract

Systems and methods are described relating to accepting an indication of a traveled path of at least one mobile device over a specified time period; determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device.

Description

TECHNICAL FIELD

This description relates to identifying the location of a mobile device.

SUMMARY

In one aspect, a method includes but is not limited to accepting an indication of a traveled path of at least one mobile device over a specified time period; determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. In addition to the foregoing, other apparatus aspects are described in the claims, drawings, and text forming a part of the present disclosure.

In one or more various aspects, related systems include but are not limited to circuitry and/or programming for effecting the herein referenced method aspects; the circuitry and/or programming can be virtually any combination of hardware, software, and/or firmware configured to effect the herein referenced method aspects depending upon the design choices of the system designer.

In one aspect, a system includes but is not limited to means for accepting an indication of a traveled path of at least one mobile device over a specified time period; means for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. In addition to the foregoing, other apparatus aspects are described in the claims, drawings, and text forming a part of the present disclosure.

In one aspect, a system includes but is not limited to circuitry for accepting an indication of a traveled path of at least one mobile device over a specified time period; circuitry for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and circuitry for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. In addition to the foregoing, other apparatus aspects are described in the claims, drawings, and text forming a part of the present disclosure.

In one aspect, a computer program product includes but is not limited to a signal-bearing medium bearing one or more instructions for accepting an indication of a traveled path of at least one mobile device over a specified time period; one or more instructions for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and one or more instructions for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

In one aspect, a system includes but is not limited to a computing device and instructions that when executed on the computing device cause the computing device to accept an indication of a traveled path of at least one mobile device over a specified time period; determine a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and present an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

The foregoing is a summary and thus may contain simplifications, generalizations, inclusions, and/or omissions of detail; consequently, those skilled in the art will appreciate that the summary is illustrative only and is NOT intended to be in any way limiting. Other aspects, features, and advantages of the devices and/or processes and/or other subject matter described herein will become apparent in the teachings set forth herein.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 illustrates an example of a mobile device location system in which embodiments may be implemented, perhaps in a device and/or through a network, which may serve as a context for introducing one or more processes and/or devices described herein.

FIG. 2 illustrates certain alternative embodiments of the mobile device location system of FIG. 1.

FIG. 3 illustrates certain alternative embodiments of the mobile device location system of FIG. 1.

FIG. 4 illustrates certain alternative embodiments of the mobile device location system of FIG. 1.

FIG. 5 illustrates an example of an operational flow representing example operations related to mobile device location, which may serve as a context for introducing one or more processes and/or devices described herein.

FIG. 6 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 7 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 8 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 9 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 10 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 11 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 12 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 13 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 14 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 15 illustrates certain alternative embodiments of the mobile device location system of FIG. 5.

FIG. 16 illustrates a partial view of an example article of manufacture including a computer program product that includes a computer program for executing a computer process on a computing device related to mobile device location, which may serve as a context for introducing one or more processes and/or devices described herein.

FIG. 17 illustrates an example device in which embodiments may be implemented related to mobile device location, which may serve as a context for introducing one or more processes and/or devices described herein.

FIG. 18 illustrates an example of a mobile device location system in which embodiments may be implemented, perhaps in a device and/or through a network, which may serve as a context for introducing one or more processes and/or devices described herein.

FIG. 19 illustrates certain alternative embodiments of the mobile device location system of FIG. 18.

FIG. 20 illustrates certain alternative embodiments of the mobile device location system of FIG. 18.

FIG. 21 illustrates an example of an operational flow representing example operations related to mobile device location, which may serve as a context for introducing one or more processes and/or devices described herein.

FIG. 22 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 23 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 24 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 25 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 26 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 27 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 28 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 29 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 30 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 31 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 32 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 33 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 34 illustrates certain alternative embodiments of the mobile device location system of FIG. 21.

FIG. 35 illustrates a partial view of an example article of manufacture including a computer program product that includes a computer program for executing a computer process on a computing device related to mobile device location, which may serve as a context for introducing one or more processes and/or devices described herein.

FIG. 36 illustrates an example device in which embodiments may be implemented related to mobile device location, which may serve as a context for introducing one or more processes and/or devices described herein.

DETAILED DESCRIPTION

In the following detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, similar symbols typically identify similar components, unless context dictates otherwise. The illustrative embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented here.

FIG. 1 illustrates an example system 100 in which embodiments may be implemented. The system 100 includes a device 102. The device 102 may contain, for example, accepter module 110, presenter module 120, and/or digital signal processor 130. User 199 may interact directly or through a user interface with device 102. Additionally, device 102 may communicate with third party 190.

FIG. 2 further illustrates an example system 100 in which embodiments may be implemented. The system 100 includes a device 102. The device 102 may contain, for example, sensor 104, accepter module 110, presenter module 120, digital signal processor 130, timer 160, sound unit 170, vibration unit 180, and visible signal presentation unit 190. Further, digital signal processor 130 may include, for example, speech signal 132 and/or voice user interface 134. The device 102 may communicate over a network or directly with remote accepter module 140 and/or remote presenter unit 150. User 199 may interact directly or through a user interface with device 102. Device 102 may communicate with third party 190, which may include phone locator service 192, phone service provider 194, and/or mobile device 196, and/or wireless communication link 198.

In FIG. 2, the device 102 is illustrated as possibly being included within a system 100. Of course, virtually any kind of computing device may be used to implement the sensor 104, accepter module 110, and/or presenter module 120, such as, for example, a programmed workstation, a programmed desktop computer, a programmed networked computer, a programmed server, a collection of programmed servers and/or databases, a programmed virtual machine running inside a computing device, a programmed mobile computing device, or a programmed tablet PC.

Additionally, not all of the sensor 104, accepter module 110, and/or presenter module 120 need be implemented on a single computing device. For example, the sensor 104, accepter module 110, and/or presenter module 120 may be implemented and/or operable on a remote computer, while a user interface and/or local instance of the sensor 104, accepter module 110, and/or presenter module 120 are implemented and/or occur on a local computer. Further, aspects of the sensor 104, accepter module 110, and/or presenter module 120 may be implemented in different combinations and implementations than that shown in FIG. 1. For example, functionality of a user interface may be incorporated into the sensor 104, accepter module 110, and/or presenter module 120. The sensor 104, accepter module 110, and/or presenter module 120 may perform simple data relay functions and/or complex data analysis, including, for example, fuzzy logic and/or traditional logic steps. Further, many methods of searching health care and/or service provider databases known in the art may be used, including, for example, unsupervised pattern discovery methods, coincidence detection methods, and/or entity relationship modeling. In some embodiments, the sensor 104, accepter module 110, and/or presenter module 120 may process user input data according to health care options and/or service provider information available as updates through a network.

Accepter module 110 and/or presenter module 120 may access data stored in virtually any type of memory that is able to store and/or provide access to information in, for example, a one-to-many, many-to-one, and/or many-to-many relationship. Such a memory may include, for example, a relational database and/or an object-oriented database, examples of which are provided in more detail herein.

FIG. 3 illustrates device 102, which may further include accepter module 110 and presenter module 120. Accepter module 110 may include sound query accepter module 302, text accepter module 308, computer accepter module 310, elapsed time accepter module 312, application terminator module 314, device accepter module 320, utilizer module 322, time interval accepter module 330, and/or location query accepter module 336. Sound query accepter module 302 may include voice query accepter module 304 and/or artificial query accepter module 306. Application terminator module 314 may include program terminator module 316 and/or link terminator module 318. Utilizer module 322 may include hibernation mode accepter module 324, partial hibernation mode accepter module 326, and/or detector module 328. Time interval accepter module 330 may include sound interval accepter module 332 and/or voice interval accepter module 334. Location query accepter module 336 may include speech recognition accepter module 338, voice recognition accepter module 340, and/or voice user interface 342.

FIG. 4 illustrates device 102, which may further include accepter module 110 and/or presenter module 120. Presenter module 120 may include sound presenter module 402, vibration presenter module 408, visible signal presenter module 410, third party presenter module 414, and/or remote presenter module 418. Sound presenter module 402 may include computer-created presenter module 404. Computer-created presenter module 404 may include voice presenter module 406. Visible signal presenter module 410 may include light presenter module 412. Third party presenter module 414 may include service presenter module 416.

Many examples of databases and database structures may be used in connection with the accepter module 110 and/or presenter module 120. Such examples include hierarchical models (in which data is organized in a tree and/or parent-child node structure), network models (based on set theory, and in which multi-parent structures per child node are supported), or object/relational models (combining the relational model with the object-oriented model).

Still other examples include various types of eXtensible Mark-up Language (XML) databases. For example, a database may be included that holds data in some format other than XML, but that is associated with an XML interface for accessing the database using XML. As another example, a database may store XML data directly. Additionally, or alternatively, virtually any semi-structured database may be used, so that context may be provided to/associated with stored data elements (either encoded with the data elements, or encoded externally to the data elements), so that data storage and/or access may be facilitated.

Such databases, and/or other memory storage techniques, may be written and/or implemented using various programming or coding languages. For example, object-oriented database management systems may be written in programming languages such as, for example, C++ or Java. Relational and/or object/relational models may make use of database languages, such as, for example, the structured query language (SQL), which may be used, for example, for interactive queries for information and/or for gathering and/or compiling data from the relational database(s). For example, SQL or SQL-like operations over one or more reference health attribute and/or reference service provider may be performed, or Boolean operations using a reference health attribute and/or reference service provider may be performed.

Following are a series of flowcharts depicting implementations. For ease of understanding, the flowcharts are organized such that the initial flowcharts present implementations via an example implementation and thereafter the following flowcharts present alternate implementations and/or expansions of the initial flowchart(s) as either sub-component operations or additional component operations building on one or more earlier-presented flowcharts. Those having skill in the art will appreciate that the style of presentation used herein (e.g., beginning with a presentation of a flowchart presenting an example implementation and thereafter providing additions to and/or further details in subsequent flowcharts) generally allows for a rapid and easy understanding of the various process implementations. In addition, those skilled in the art will further appreciate that the style of presentation used herein also lends itself well to modular and/or object-oriented program design paradigms.

FIG. 5 illustrates an operational flow 500 representing example operations related to accepting a mobile device location query using digital signal processing and presenting an indication of location of the mobile device at least partially based on receiving the location query. In FIG. 5 and in following figures that include various examples of operational flows, discussion and explanation may be provided with respect to the above-described examples of FIGS. 1 through 4, and/or with respect to other examples and contexts. However, it should be understood that the operational flows may be executed in a number of other environments and contexts, and/or in modified versions of FIGS. 1 through 4. Also, although the various operational flows are presented in the sequence(s) illustrated, it should be understood that the various operations may be performed in other orders than those which are illustrated, or may be performed concurrently.

After a start operation, the operational flow 500 moves to an operation 510. Operation 510 depicts accepting a mobile device location query using digital signal processing. For example, as shown in FIGS. 1 through 4, the accepter module 110 can accept a mobile device location query using digital signal processing. In an embodiment, accepter module 110 can accept a mobile device location query in the form of an individual speaking the words, “Phone, where are you?” using digital signal processing. Some examples of a location query may include human-made sounds, such as a voice or a hand clap, or computer created sounds, such as dual-tone multi-frequency signaling (DTMF) and the use of a DTMF keypad to create a specific sequence of sound frequencies, for example. In an embodiment, accepter module 110 may accept a mobile device location query in the form of a series of four signal tones created using dual-tone multi-frequency signaling. In this embodiment, accepter module 110 may include a analog-to-digital converter. Additionally, the mobile device may include a device and/or programming to conserve battery power after detecting inactivity after a predetermined period of time.

Digital signal processing may include the representation of discrete time signals by a sequence of numbers or symbols and the processing of these signals. Some examples of digital signal processing may include audio or speech signal processing, sonar and radar signal processing, sensor array processing, spectral estimation, statistical signal processing, digital image processing, signal processing for communications, control of systems, and/or biomedical signal processing. Digital signal processing may include converting the signal(s) from an analog to a digital form, by sampling and then digitizing it using an analog-to-digital converter (ADC), which turns the analog signal into a stream of numbers. Sometimes, the required output signal is another analog output signal, which requires a digital-to-analog converter (DAC). device 100 and/or accepter module 110 may include an analog-to-digital converter (ADC) and/or a digital-to-analog converter (DAC). In some instances, accepter module 110 may include a computer processor programmed to accept a mobile device location query using digital signal processing, a digital-to-analog converter (DAC), an analog-to-digital converter (ADC), and/or a microphone.

Then, operation 520 depicts presenting an indication of location of the mobile device at least partially based on receiving the location query. For example, as shown in FIGS. 1 through 4, the presenter module 120 can present an indication of location of the mobile device at least partially based on receiving the location query. In an embodiment, presenter module 120 may present an indication of location of the mobile device location in the form of sending GPS coordinates to a second mobile device at least partially based on accepting a location query in the form of a text message to the first mobile device. Some examples of presenting an indication of location may include making a sound or a series of sounds, activating a light, and/or transmitting information, such as GPS coordinates. Other examples of presenting an indication of location may include transmitting a signal to another mobile device and/or presenting an indication of location to a printer coupled to a computer in a central location, such as the mobile device owner's home office.

FIG. 6 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 6 illustrates example embodiments where the operation 510 may include at least one additional operation. Additional operations may include an operation 602, an operation 604, and/or an operation 606.

The operation 602 illustrates accepting a sound query using digital signal processing. For example, as shown in FIGS. 1 through 4, the sound query accepter module 302 can accept a sound query using digital signal processing. In an embodiment, sound query accepter module 302 may accept a sound query in the form of an audible digitally-created signal. Some examples of a sound query may include a voice, such as a word or a phrase, or sound played from a recording, such as a compact disk recording, for example. Another example of accepting a sound query may include audio signal processing, an example of which may be found in U.S. Pat. No. 8,027,477, which is incorporated herein by reference. In some instances, sound query accepter module 302 may include a computer processor programmed to accept a sound query.

Further, the operation 604 illustrates accepting a voice query using digital signal processing. For example, as shown in FIGS. 1 through 4, the voice query accepter module 304 can accept a voice query using digital signal processing. In an embodiment, voice query accepter module 304 may accept the voice query, “Phone, state your location.” Some examples of a voice query may include a word or a series of words. Additionally, a voice query may include a recorded voice, such as a compact disk recording. In an embodiment, voice query accepter module 304 may accept a voice query in the form of a recorded voice from a compact disk with a voice that speaks the word “locate” in a frequency specifically recognizable by the voice query accepter module 304. Accepting a voice query using digital signal processing may include speech signal processing, such as speech recognition. Speech recognition, or voice recognition, converts a spoken word to a digital signal, such as text. In some instances, voice recognition may include a recognition system that is trained to recognize the voice of a particular speaker. An example of voice and speech recognition may be found in U.S. Pat. No. 8,056,070, which is incorporated herein by reference. In some instances, voice query accepter module 304 may include a computer processor.

Further, the operation 606 illustrates accepting an artificially-created sound query using digital signal processing. For example, as shown in FIGS. 1 through 4, the artificial query accepter module 306 can accept an artificially created query using digital signal processing. In an embodiment, the artificial query accepter module 306 may accept a series of computer-created sounds in a high frequency sound range that a human may not be able to detect. In this embodiment, the high frequency sound range may be only detectable by the mobile device. Other usable sound ranges may be used, for example ultrasonic, very high, or very low sound frequency ranges. An example of using a very high audio frequency range may be found in U.S. Pat. No. 5,159,703, which is incorporated herein by reference. Further, the artificially-created sound query may be recorded and/or stored on mechanical, optical, or magnetic media for repeated or delayed transmission to the mobile device. In some instances, artificial query accepter module 306 may include a computer processor.

FIG. 7 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 7 illustrates example embodiments where the operation 510 may include at least one additional operation. Additional operations may include an operation 702, an operation 704, and/or an operation 706.

The operation 702 illustrates accepting a text message that causes the mobile device to indicate a location. For example, as shown in FIGS. 1 through 4, the text accepter module 308 can accept a text message that causes the mobile device to indicate a location. In an embodiment, text accepter module 308 may accept a text message from a smart phone. For example, the text message may be a specified word or phrase, such as “LOCATION” which may be a predetermined command for the mobile device to send an indication of location, for example, GPS coordinates. A text message may include a message utilizing the Short Message Service (SMS). One example of using the Short Message Service (SMS) may be found in U.S. Patent Publication No. 2008/0248821, which is incorporated herein by reference. In some instances, text accepter module 308 may include a computer processor.

The operation 704 illustrates accepting a device-generated signal that causes the mobile device to indicate a location. For example, as shown in FIGS. 1 through 4, the computer accepter module 310 can accept a device-generated signal that causes the mobile device to indicate a location. In one embodiment, computer accepter module 310 may accept an infrared signal from a Wii remote. The infrared signal from the Wii remote may be accepted by and/or detected by the mobile device causing the mobile device to indicate a location, for example override a silent mode and choose a ring tone to be presented. In an additional embodiment, computer accepter module 310 may accept a query from a universal remote control using infrared technology. The universal remote control may include a universal remote control that an individual regularly uses for changing channels and controlling a television, such as the universal remote control disclosed in U.S. Pat. No. 6,587,067, which is incorporated herein by reference. In some instances, computer accepter module 310 may include a computer processor.

The operation 706 illustrates accepting an indication of a predetermined elapsed time that causes the mobile device to indicate a location. For example, as shown in FIGS. 1 through 4, the elapsed time accepter module 312 can accept an indication of a predetermined elapsed time that causes the mobile device to indicate a location. In an embodiment, elapsed time accepter module 312 may accept an indication of a twenty-four hour time period that has passed without any activity, such as a phone call, a data message, or an SMS message, for example from a smartphone. In an additional embodiment, elapsed time accepter module 312 may accept an indication of a three day period that a computer tablet has not been moved. For example, the computer tablet may include an accelerometer for detecting movement or non-movement, which may indicate to an elapsed time accepter module 312. In some instances, elapsed time accepter module 312 may include a computer processor.

FIG. 8 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 8 illustrates example embodiments where the operation 510 may include at least one additional operation. Additional operations may include an operation 802, an operation 804, an operation 806, and/or an operation 808.

The operation 802 illustrates terminating at least one application after a predetermined time has passed. For example, as shown in FIGS. 1 through 4, the application terminator module 314 can terminate at least one application after a predetermined time has passed. In an embodiment, application terminator module 314 may terminate a browser application after a twenty four hour time period has passed. Terminating at least one application may serve to preserve battery and processing power in the case of an extended period of time that the mobile device may be lost or missing. Some examples of applications that may be closed include any non-essential applications (e.g., a browsing application, a game, a texting application, a mapping application, and/or a calendar application). In some instances, application terminator module 314 may include a computer processor.

Further, the operation 804 illustrates terminating at least one of a texting program, an email program, or an internet browser. For example, as shown in FIGS. 1 through 4, the program terminator module 316 can terminate at least one of a texting program, an email program, or an internet browser. In an embodiment, program terminator module 316 may terminate an email program. In this embodiment, this may serve to reduce computer processing time and in turn reduce battery consumption. This may be advantageous to prolong battery life in the event of a lost mobile device. In some instances, program terminator module 316 may include a computer processor.

Further, the operation 806 illustrates terminating a wireless communication link. For example, as shown in FIGS. 1 through 4, the link terminator module 318 can terminate a wireless communication link. In an embodiment, link terminator module 318 may terminate a link between a mobile device and a wireless router. This may serve to further preserve battery power. Some examples of a wireless communications link may include a wireless personal area network (WPAN), a wireless local area network (WLAN), or a mobile device network, for example a base station system in a cell network or a Personal Communications Service (PCS). In some instances, a link terminator module 318 may include a computer processor.

The operation 808 illustrates accepting a location query for at least one of a cell phone, a smartphone, a portable media player, or a tablet computer. For example, as shown in FIGS. 1 through 4, the device accepter module 320 can accept a query for at least one of a cell phone, a mobile phone, a portable media player, or a tablet computer. In an embodiment, device accepter module 320 may accept a location query for a cell phone. A cell phone may include a device which can make and receive telephone calls over a radio link while moving around a wide geographic area by connecting to a cellular network provided by a mobile network provider. A smartphone may include a mobile phone and/or a cell phone that can support a variety of applications and services including text messaging, E-mail programs, multimedia messaging service, Internet browsing, infrared or Bluetooth communications, gaming, photography, and/or business applications. A portable media player may include a consumer electronics device capable of storing and playing digital media such as audio, images, video, documents, etc. A portable media player may include a hard drive, a microdrive, and/or flash memory. Some examples of a portable media player may include an Apple iPod, a Diamond Rio from Diamond Multimedia, or a Microsoft Zune. A tablet computer may include a mobile computer integrated onto a flat screen and operated primarily by touching the screen. Some examples of a tablet computer may include an Apple iPad or a Microsoft Tablet PC. In some instances, device accepter module 320 may include a computer processor.

FIG. 9 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 9 illustrates example embodiments where the operation 510 may include at least one additional operation. Additional operations may include an operation 902, an operation 904, an operation 906, and/or an operation 908.

The operation 902 illustrates utilizing low power digital signal processing. For example, as shown in FIGS. 1 through 4, the utilizer module 322 can utilize low power digital signal processing. In an embodiment, utilizer module 322 may utilize digital signal processing designed to use reduced battery power. In this embodiment, using reduced battery power may serve to prolong the amount of time that a misplaced mobile device may be capable of receiving or transmitting a location signal. Another example of utilizing low power digital signal processing may include the device disclosed in U.S. Pat. No. 6,141,761, which is incorporated herein by reference. In some instances, utilizer module 322 may include a computer processor.

Further, the operation 904 illustrates accepting an indication to enter a hibernation mode. For example, as shown in FIGS. 1 through 4, the hibernation mode accepter module 324 can accept an indication to enter a hibernation mode. In an embodiment, hibernation mode accepter module 324 may accept an indication to enter a misplaced mobile phone into a hibernation mode. For example, the misplaced mobile device may include an accelerometer that may indicate that the mobile device has not been moved within the past twenty four hours. A signal may be sent from the accelerometer to hibernation mode accepter module 324, which may initiate a hibernation mode in the mobile device. Hibernation mode may include powering down at least a portion of a computing system while retaining at least part of its computing state. Hibernation may serve to conserve electrical power, for example in the battery of the mobile device. In another embodiment, hibernation mode accepter module 324 may accept and indication to enter hibernation mode upon the activation of a low-battery alarm. One example of using a low-battery alarm may be found in U.S. Patent Publication 2009/0117949, which is incorporated herein by reference. In some instances, hibernation mode accepter module 324 may include a computer processor.

Further, the operation 906 illustrates accepting an indication to enter a partial hibernation mode. For example, as shown in FIGS. 1 through 4, the partial hibernation mode accepter module 326 can accept an indication to enter a partial hibernation mode. In an embodiment, partial hibernation mode accepter module 326 may accept an indication to enter a mobile device into a partial hibernation mode. A partial hibernation mode may be similar to a hibernation mode, discussed above, but may include more running applications and/or services. In some instances, partial hibernation mode accepter module 326 may include a computer processor.

Further, the operation 908 illustrates detecting a low-power status of the battery. For example, as shown in FIGS. 1 through 4, the detector module 328 can detect a low-power status of the battery. In an embodiment, detector module 328 may detect a low-power status of a tablet computer battery. For example, a low-power detecting device may be implemented that can calculate the time until a battery is completely discharged or may need to be replaced and/or recharged. An example of a similar device may be found in U.S. Patent Publication No. 2008/0018306, which is incorporated herein by reference. In some instances, detector module 328 may include a computer processor.

FIG. 10 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 10 illustrates example embodiments where the operation 510 may include at least one additional operation. Additional operations may include an operation 1002, an operation 1004, and/or an operation 1006.

The operation 1002 illustrates accepting a query at a predetermined periodic time interval. For example, as shown in FIGS. 1 through 4, the time interval accepter module 330 can accept a query at a predetermined periodic time interval. In an embodiment, time interval accepter module 330 may be programmed to accept a query regarding location at a specific time or at a specific time period. For example, at 10:00 P.M. every evening the mobile device may turn on from a hibernation mode and may be ready to receive a voice query. In this example, the mobile device may be programmed to return to the hibernation mode to save on battery power if a voice query is not detected within five minutes. This may serve to function as a method for locating a misplaced mobile device while saving battery power and may increase the likelihood that the device may be found even an extended period of time after misplacement. In some instances, time interval accepter module 330 may include a computer processor.

Further, the operation 1004 illustrates accepting a sound query at a predetermined periodic time interval. For example, as shown in FIGS. 1 through 4, the sound interval accepter module 332 can accept a sound query at a predetermined periodic time interval. In an embodiment, sound interval accepter module 332 may accept a recording of a computer-created series of tones that are recognizable by a specific mobile device every hour. Some examples of a sound query may include a computer-created sound, a sound played from a recordable medium, such as a compact disk, or a human voice. In some instances, sound interval accepter module 332 may include a computer processor.

Further, the operation 1006 illustrates accepting a voice query at a predetermined periodic time interval. For example, as shown in FIGS. 1 through 4, the voice interval accepter module 334 can accept a voice query at a predetermined periodic time interval. In an embodiment, voice interval accepter module 334 may accept a sound query in the form of a voice command, for example “phone indicate location” every hour in the hour. The mobile device may be in hibernation mode or in an otherwise power saving mode in order to conserve battery power. In some instances, voice interval accepter module 334 may include a computer processor.

FIG. 11 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 11 illustrates example embodiments where the operation 510 may include at least one additional operation. Additional operations may include an operation 1102, an operation 1104, an operation 1106, and/or an operation 1108.

The operation 1102 illustrates accepting a mobile device location query using speech signal processing. For example, as shown in FIGS. 1 through 4, the location query accepter module 336 can accept a mobile device location query using speech signal processing. In an embodiment, location query accepter module 336 may accept a smartphone location query using speech signal processing. Speech signal processing may include speech recognition and/or speech compression. In some instances, location query accepter module 336 may include a computer processor.

Further, the operation 1104 illustrates accepting a mobile device location query using speech recognition. For example, as shown in FIGS. 1 through 4, the speech recognition accepter module 338 can accept a mobile device location query using speech recognition. In an embodiment, speech recognition accepter module 338 may accept a computer tablet location query using speech recognition. Speech recognition may include converting at least one spoken word to text. Some examples of speech recognition may include voice recognition, which may include a recognition system that is trained to recognize a certain speaker. However, speech recognition generally refers to technology that can recognize speech without being targeted to any one specific speaker, for example a call system that can recognize an arbitrary voice. Other examples of speech recognition may include voice dialing (e.g., “Phone, where are you?”), call routing (e.g., “I would like to make a collect call”), domotic appliance control, search (e.g., find a podcast where particular words were spoken), simple data entry (e.g., entering a credit card number), preparation of structured documents (e.g., a radiology report), speech-to-text processing (e.g., word processors or emails), and/or aircraft (usually termed Direct Voice Input). Another example of speech recognition may include the example found in U.S. Pat. No. 5,903,864, which is incorporated herein by reference. In some instances, speech recognition accepter module 338 may include a computer processor.

Further, the operation 1106 illustrates accepting a mobile device location query using voice recognition. For example, as shown in FIGS. 1 through 4, the voice recognition accepter module 340 can accept a mobile device location query using voice recognition. In an embodiment, voice recognition accepter module 340 may accept a smartphone location query using voice recognition. As discussed above, voice recognition may include a recognition system that is trained to recognize a certain speaker. An example of a voice recognition system may include the example discussed in U.S. Patent Publication No. 2011/0166859, which is incorporated herein by reference. In some instances, voice recognition accepter module 340 may include a computer processor,

Further, the operation 1108 illustrates accepting a mobile device location query using a voice user interface. For example, as shown in FIGS. 1 through 4, the voice user interface 342 can accept a mobile device location query using a voice user interface. In an embodiment, voice user interface 342 may accept a mobile device location query using a voice user interface used by a speech application on the mobile device. The mobile device may include a speech application where an individual may speak a word or phrase, such as “phone, beep.” Then, the voice user interface would take the spoken word or phrase and utilize the speech application to compute the word or phrase. The mobile phone may then be prompted to present and indication of location of the mobile device. A further example of a voice user interface may include the distributed voice user interface discussed in U.S. Patent Publication 2002/0072918, which is incorporated herein by reference. In some instances, voice user interface 342 may include a computer processor.

FIG. 12 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 12 illustrates example embodiments where the operation 520 may include at least one additional operation. Additional operations may include an operation 1202, an operation 1204, and/or an operation 1206.

The operation 1202 illustrates presenting a sound that indicates location of the mobile device. For example, as shown in FIGS. 1 through 4, the sound presenter module 402 can present a sound that indicates location of the mobile device. In an embodiment, sound presenter module 402 may present a predetermined ringtone sound that indicates location of the mobile device. Some examples of a sound that may indicate location of the mobile device may include a ringtone, an audible beep, a jingle, or other sounds or combinations of sound. An example of creating and purchasing ringtones may be found in U.S. Patent Publication No. 2008/0167968, which is incorporated herein by reference. In some instances, sound presenter module 402 may include a computer processor.

Further, the operation 1204 illustrates presenting a computer-created sound that indicates location of the mobile device. For example, as shown in FIGS. 1 through 4, the computer-created sound presenter module 404 can present a computer-created sound that indicates location of the mobile device. In an embodiment, computer-created sound presenter module 404 may present a computer-created song that indicates location of the mobile device. This may serve to let an individual know where a misplaced mobile device may be, for example a cell phone that has been lost behind a furniture cushion. Some examples of a computer-created sound may include computer or electronic music, a ringtone, a beep, or a recorded message. An example of creating a computer-created custom ringtone may be found in U.S. Pat. No. 7,546,148. In some instances, computer-created sound presenter module 404 may include a computer processor.

Further, the operation 1206 illustrates presenting a computer-created voice that indicates location of the mobile device. For example, as shown in FIGS. 1 through 4, the voice presenter module 406 can present a computer-created voice that indicates location of the mobile device. In an embodiment, voice presenter module 406 may present a computer created voice that includes a voice repeatedly stating “alert.” This may serve to alert an individual of the location of the mobile device in the event of misplacement. In one embodiment, a computer-created voice may be interactive, such as the example found in U.S. Pat. No. 7,778,833, which is incorporated herein by reference. In some instances, voice presenter module 406 may include a computer processor.

FIG. 13 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 13 illustrates example embodiments where the operation 520 may include at least one additional operation. Additional operations may include an operation 1302, an operation 1304, an operation 1306, an operation 1308, and/or an operation 1310.

The operation 1302 illustrates presenting an indication for the mobile device to vibrate. For example, as shown in FIGS. 1 through 4, the vibration presenter module 408 can present a trigger for the mobile device to vibrate. In an embodiment, vibration presenter module 408 may present an indication for the mobile device to trigger a vibrating alert. In this embodiment, a vibrating alert motor may be included in the mobile device. the vibrating alert motor may include a small electric motor coupled to an eccentric, or unbalanced weight. Utilizing a vibration may generally serve to alert an individual in the case of a noisy environment or in the case of a hearing impaired user. An additional reason may include increased sound, such as when the mobile device with a vibrating alert motor is placed on a firm or hard surface. In this case, the vibration may often be as loud or louder than a regular sound or ringtone because of the vibration against the firm of hard surface. An example of a mobile device including a vibrating alert motor may include a cell phone with a vibrating alert motor, such as the example described in U.S. Patent Publication No. 2008/0242287, which is incorporated herein by reference. In some instances, vibration presenter module 408 may include a computer processor.

The operation 1304 illustrates presenting a visible indication of the mobile device location. For example, as shown in FIGS. 1 through 4, the visible signal presenter module 410 can present a visible indication of the mobile device location. In an embodiment, visible signal presenter module 410 may present an LED light to indicate the mobile device location. Presenting a visible indication of the mobile device may serve to locate a misplaced mobile device and may be especially helpful, for example, to an individual that may be hearing impaired. Some examples of a visible indication may include a light, such as an LED or an incandescent bulb, a strobe light, a backlit display, or a lit screen display. In one embodiment, visible signal presenter module 410 may present a strobe light in order to indicate to an individual a misplaced tablet computer. In this embodiment, the strobe light may be included with the tablet computer, for example as part of a camera flash where the camera flash is utilized as the strobe light. Another example of a light mechanism for a cell phone may be found in U.S. Pat. No. 6,341,871, which is incorporated herein by reference. In some instances, visible signal presenter module 410 may include a computer processor.

Further, the operation 1306 illustrates presenting at least a constant light, a blinking light, or a strobe light that indicates the mobile device location. For example, as shown in FIGS. 1 through 4, the light presenter module 412 can present at least a constant light, a blinking light, or a strobe light that indicates the mobile device location. In an embodiment, light presenter module 412 may present a blinking light that may indicate a misplaced smartphone to an individual. Presenting a blinking light may serve to be more visible and more effectively alert an individual to the location of a mobile device. A constant light may include an LED light source, an incandescent light source, or a flourescent light source, for example. A light that is constantly illuminated may serve to be more visible to an individual in a darkened setting, such as a room without any other light or solely ambient light. A strobe light may include a stroboscopic light, or a light that may be used to produce regular flashes of light, for example ten to twelve flashes of light per second. In an embodiment, light presenter module 412 may present a strobe light that discharges light in a continuous mode for five minute intervals. Another example of a mobile device presenting a strobe light may include a cell phone with a built in flash, such as the device disclosed in U.S. Pat. No. 7,428,016, which is incorporated herein by reference. In some instances, light presenter module 412 may include a computer processor.

The operation 1308 illustrates presenting an indication of location of the mobile device to a third party. For example, as shown in FIGS. 1 through 4, the third party presenter module 414 can present an indication of location of the mobile device to a third party. In an embodiment, third party presenter module 414 may present an indication of location of the mobile device to an off location computer. In this embodiment, the mobile device may transmit an indication of location, such as a router web address or GPS coordinates, for example, to a computer programmed to receive GPS coordinates and alert the mobile device owner as to the location. Some examples of a third party may include an off location or remote computer, a mobile service provider, or a second mobile device. In some instances, third party presenter module 414 may include a computer processor.

Further, the operation 1310 illustrates presenting an indication of location of the mobile device to at least one of a phone locating service, a phone service provider, or another mobile device. For example, as shown in FIGS. 1 through 4, the service presenter module 416 can present an indication of location of the mobile device to at least one of a phone locating service, a phone service provider, or another mobile device. In an embodiment, service presenter module 416 may present a set of GPS coordinates to a second mobile device. In this embodiment, an individual that has misplaced a first mobile device, a cell phone for example, may additionally possess a second mobile device, a computer tablet for example, that may be configured to accept an indication of location of the first mobile device, such as GPS coordinates. In a specific embodiment, an individual may misplace or lose a cell phone at a local store while shopping and upon arriving home, may realize the cell phone has been lost. In this example, the service presenter module 416 may be configured to present a set of location coordinates to a tablet computer possessed by the individual where the individual can retrieve the lost cell phone according to the location coordinates. A phone locating service may include a service that uses computers, for example, configured to accept an indication of a mobile device and further report location of the mobile device. In some instances, the phone locating service may be for-profit and may offer a subscription service. A phone service provider may include a provider of network service and may include data and/or voice plans to a mobile device. Some examples of a phone service provider may include Sprint, AT&T, and Verizon as well as other similar providers. Some examples of another mobile device may include a tablet computer, a cell phone, or a smartphone. In some instances, service presenter module 416 may include a computer processor.

FIG. 14 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 14 illustrates example embodiments where the operation 520 may include at least one additional operation. Additional operations may include an operation 1402.

The operation 1402 illustrates presenting an indication of location of the mobile device to a remote location. For example, as shown in FIGS. 1 through 4, the remote presenter module 418 can present an indication of location of the mobile device to a remote location. In an embodiment, remote presenter module 418 may present an indication of location of the mobile device, which is located in Phoenix, Ariz., to a computer in Los Angeles, Calif. The computer in Los Angeles may serve as an off-location service provider, for example. Additionally, presenting an indication of location of a mobile device to a remote location may serve as a backup location providing service. In some instances, remote presenter module 418 may include a computer processor.

FIG. 15 illustrates alternative embodiments of the example operational flow 500 of FIG. 5. FIG. 15 illustrates example embodiments where the operation 520 may include at least one additional operation. Additional operations may include an operation 1502.

The operation 1502 illustrates accepting a voice query where an individual communicates a single word as the mobile device location query and presenting an audible and repeated high-volume ringtone as the indication of location of the mobile device. For example, as shown in FIGS. 1 through 4, the accepter module 110 and the presenter module 120 can accept a voice query where an individual communicates a single word as the mobile device location query and present an audible and repeated high-volume ringtone as the indication of location of the mobile device. In an embodiment, accepter module 110 may accept a voice query where an individual communicates a single word as the mobile device location query and presenter module 120 may present an audible and repeated high-volume ringtone as the indication of location of the mobile device. In some instances, accepter module 110 may include a computer processor. In some instances, presenter module 120 may include a computer processor.

FIG. 16 illustrates a partial view of an example computer program product 1600 that includes a computer program 1604 for executing a computer process on a computing device. An embodiment of the example computer program product 1600 is provided using a signal-bearing medium 1602, and may include one or more instructions for accepting a mobile device location query using digital signal processing and one or more instructions for presenting an indication of location of the mobile device at least partially based on receiving the location query. The one or more instructions may be, for example, computer executable and/or logic-implemented instructions. In one implementation, the signal-bearing medium 1602 may include a computer-readable medium 1606. In one implementation, the signal bearing medium 1602 may include a recordable medium 1608. In one implementation, the signal bearing medium 1602 may include a communications medium 1610.

FIG. 17 illustrates an example system 1700 in which embodiments may be implemented. The system 1700 includes a computing system environment. The system 1700 also illustrates the user 118 using a device 1704, which is optionally shown as being in communication with a computing device 1702 by way of an optional coupling 1706. The optional coupling 1706 may represent a local, wide-area, or peer-to-peer network, or may represent a bus that is internal to a computing device (e.g., in example embodiments in which the computing device 1702 is contained in whole or in part within the device 1704). A storage medium 1708 may be any computer storage media.

The computing device 1702 includes computer-executable instructions 1710 that when executed on the computing device 1702 cause the computing device 1702 to accept a mobile device location query using digital signal processing and present an indication of location of the mobile device at least partially based on receiving the location query. As referenced above and as shown in FIG. 17, in some examples, the computing device 1702 may optionally be contained in whole or in part within the device 1704.

In FIG. 17, then, the system 1700 includes at least one computing device (e.g., 1702 and/or 1704). The computer-executable instructions 1710 may be executed on one or more of the at least one computing device. For example, the computing device 1702 may implement the computer-executable instructions 1710 and output a result to (and/or receive data from) the computing device 1704. Since the computing device 1702 may be wholly or partially contained within the computing device 1704, the device 1704 also may be said to execute some or all of the computer-executable instructions 1710, in order to be caused to perform or implement, for example, various ones of the techniques described herein, or other techniques.

The device 1704 may include, for example, a portable computing device, workstation, or desktop computing device. In another example embodiment, the computing device 1702 is operable to communicate with the device 1704 associated with the user 118 to receive information about the input from the user 118 for performing data access and data processing and presenting an output of the user-health test function at least partly based on the user data.

Although a user 199 is shown/described herein as a single illustrated figure, those skilled in the art will appreciate that a user 199 may be representative of a human user, a robotic user (e.g., computational entity), and/or substantially any combination thereof (e.g., a user may be assisted by one or more robotic agents). In addition, a user 199, as set forth herein, although shown as a single entity may in fact be composed of two or more entities. Those skilled in the art will appreciate that, in general, the same may be said of “sender” and/or other entity-oriented terms as such terms are used herein.

FIG. 18 illustrates an example system 1800 in which embodiments may be implemented. The system 1800 includes a device 102. The device 102 may contain, for example, sensor 1804, accepter module 1810, determiner module 1820, presenter module 1830, timer 1860, sound unit 1870, vibration unit 1880, accelerometer 1835, GPS receiver 1865, and visible signal presentation unit 1890. The device 1802 may communicate over a network or directly with remote accepter module 1840, remote determiner module 1850, and/or remote presenter module 1855. User 199 may interact directly or through a user interface with device 1802. Device 1802 may communicate with a third party 1890, which may include phone locator service 1892, phone service provider 1894, security service 1897, mobile device 1896, and/or wireless communication link 1898.

In FIG. 18, the device 1802 is illustrated as possibly being included within a system 1800. Of course, virtually any kind of computing device may be used to implement the sensor 1804, accepter module 1810, determiner module 1820, and/or presenter module 1830, such as, for example, a programmed workstation, a programmed desktop computer, a programmed networked computer, a programmed server, a collection of programmed servers and/or databases, a programmed virtual machine running inside a computing device, a programmed mobile computing device, or a programmed tablet PC.

Additionally, not all of the sensor 1804, accepter module 1810, determiner module 1820, and/or presenter module 1830 need be implemented on a single computing device. For example, the sensor 1804, accepter module 1810, determiner module 1820, and/or presenter module 1830 may be implemented and/or operable on a remote computer, while a user interface and/or local instance of the sensor 1804, accepter module 1810, determiner module 1820, and/or presenter module 1830 are implemented and/or occur on a local computer. Further, aspects of the sensor 1804, accepter module 1810, determiner module 1820, and/or presenter module 1830 may be implemented in different combinations and implementations than that shown in FIG. 1. For example, functionality of a user interface may be incorporated into the sensor 1804, accepter module 1810, determiner module 1820, and/or presenter module 1830. The sensor 1804, accepter module 1810, determiner module 1820, and/or presenter module 1830 may perform simple data relay functions and/or complex data analysis, including, for example, fuzzy logic and/or traditional logic steps. Further, many methods of searching health care and/or service provider databases known in the art may be used, including, for example, unsupervised pattern discovery methods, coincidence detection methods, and/or entity relationship modeling. In some embodiments, the sensor 1804, accepter module 1810, determiner module 1820, and/or presenter module 1830 may process user input data according to health care options and/or service provider information available as updates through a network.

Accepter module 1810, determiner module 1820, and/or presenter module 1830 may access data stored in virtually any type of memory that is able to store and/or provide access to information in, for example, a one-to-many, many-to-one, and/or many-to-many relationship. Such a memory may include, for example, a relational database and/or an object-oriented database, examples of which are provided in more detail herein.

FIG. 19 illustrates device 1802, which may further include accepter module 1810, determiner module 1820, and/or presenter module 1830. Accepter module 1810 may include logged data accepter module 1902 and/or location accepter module 1904. Location accepter module 1904 may include multilateration accepter module 1906, triangulation determiner module 1908, cell triangulation determiner module 1908, cell triangulation accepter module 1910, trajectory accepter module 1912, inertial data accepter module 1916, timing information accepter module 1918, and/or hybrid system accepter module. Trajectory accepter module 1912 may include program accepter module 1914. Hybrid system accepter module 1920 may include reported location accepter module 1922 and/or GPS information accepter module 1924. Determiner module 1820 may include reported location predictor module 1926, logger module 1932, and mobile device presenter module 1936. Reported location predictor module 1926 may include cell tower predictor module 1928 and/or signal strength predictor module 1930. Logger module 1932 may include analyzer module 1934. Mobile device presenter module 1936 may include cell phone presenter module 1938. Cell phone presenter module 1938 may include dedicated presenter module 1940.

FIG. 20 illustrates device 1802, which may further include accepter module 1810, determiner module 1820, and/or presenter module 1830. Presenter module 1830 may include service presenter module 1942, location transmitter module 1944, detector module 1952, sound presenter module 1954, vibration presenter module 1960, visible indication presenter module 1962, and/or third party presenter module 1966. Location transmitter module 1944 may include coordinate transmitter module 1946 and/or network transmitter module 1948. Network transmitter module 1948 may include address transmitter module 1950. Sound presenter module 1954 may include computer sound presenter module 1956. Computer sound presenter module 1956 may include computer voice presenter module 1958. Visible indication presenter module 1962 may include light presenter module 1964. Third party presenter module 1966 may include device presenter module 1968 and/or security service presenter module 1970.

FIG. 21 illustrates an operational flow 2100 representing example operations related to accepting an indication of a traveled path of at least one mobile device over a specified time period; determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. In FIG. 21 and in following figures that include various examples of operational flows, discussion and explanation may be provided with respect to the above-described examples of FIGS. 1 through 3, and/or with respect to other examples and contexts. However, it should be understood that the operational flows may be executed in a number of other environments and contexts, and/or in modified versions of FIGS. 1 through 3. Also, although the various operational flows are presented in the sequence(s) illustrated, it should be understood that the various operations may be performed in other orders than those which are illustrated, or may be performed concurrently.

After a start operation, the operational flow 2100 moves to an operation 2110. Operation 2110 depicts accepting an indication of a traveled path of at least one mobile device over a specified time period. For example, as shown in FIGS. 1 through 3, the accepter module 1810 can accept an indication of a traveled path of at least one mobile device over a specified time period. In an embodiment, accepter module 1810 may accept data including a set of GPS coordinates that have been logged at different times that correspond to a smartphone for a twenty-four hour time period. The data including a set of GPS coordinates that have been logged at different times may be used to construct a map or a path the smartphone may have traveled over a certain time period and that may be further used to determine a predicted location of the mobile device. Some other examples of an indication of a traveled path may include a set of coordinates at different times, for example coordinates determined from cell phone towers, geolocation, coordinates determined from network locations, such as a WiFi hotspot, and/or a network router. In some instances, accepter module 1810 may include a computer processor.

Then, operation 2120 depicts determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period. For example, as shown in FIGS. 1 through 3, the determiner module 1820 can determine a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period. In an embodiment, determiner module 1820 may determine a predicted location of a tablet computer, such as at an individual's home, an individual's workplace, or another place an individual has visited, such as a restaurant or a movie theater. Determiner module 1820 may then determine a predicted location by using the indication of the traveled path to, for example, extrapolate from the traveled path a future location, or the predicted location. In this embodiment, extrapolating a predicted location may mean that linear extrapolation, polynomial extrapolation, or other methods of extrapolation may be utilized. Extrapolation may include the process of determining a predicted location by creating a tangent line at the end of known data (i.e., a travelled path) and extending the tangent line beyond the known limit (e.g., a predicted location). Depending on the traveled path, interpolation may also be utilized to predict a location of a mobile device. Determining a predicted location of a mobile device may serve to locate a misplaced mobile device, to track an individual that is associated with the mobile device (e.g., for law enforcement purposes, for parents keeping track of a child), or otherwise tracking the mobile device. Other methods for determining a predicted location may be used such as mapping the location and statistically predicting a probable location using the mapping software (e.g., using Google Latitude to map the location). Studies have shown that human mobility may be predicted at approximately a 93% rate across a whole population, which is discussed further in “Limits of Predictability in Human Mobility,” Song et al., Science, 327 (5968), 1018-1021, which is incorporated herein by reference. In some instances, determiner module 1820 may include a computer processor.

Then, operation 2130 depicts presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the presenter module 1830 can present an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. In an embodiment, presenter module 1830 may present an indication of location of a predicted location mobile device location in the form of sending predicted GPS coordinates to a website at least partially based on accepting information regarding one hundred locations along a path traveled over a period of a week to a website to which an individual subscribes. The individual may then determine from the information on the website a location of, for example, a misplaced mobile device. Some additional examples of presenting a predicted location of a mobile device may include transmitting other information, such as a predicted location on a map or multiple predicted GPS coordinates (e.g., different locations that are listed with a probability of the mobile device being at each respective location). Other examples of presenting an indication of location may include transmitting a signal to another mobile device and/or presenting an indication of location to a printer coupled to a computer in a central location, such as the mobile device owner's home office. In some instances, presenter module 1830 may include a computer processor.

FIG. 22 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 22 illustrates example embodiments where the operation 2110 may include at least one additional operation. Additional operations may include an operation 2202, an operation 2204, an operation 2206, and/or an operation 2208.

The operation 2202 illustrates accepting logged data including at least two locations of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the logged data accepter module 1902 can accept logged data including at least two locations of the at least one mobile device. In an embodiment, logged data accepter module 1902 may accept a set of logged GPS coordinates that have been logged over a month of time. The logged GPS locations may serve to assist in predicting a mobile device location by attempting to predict the location based on past logged locations and determining a pattern of travel. The pattern of travel may then used to interpolate or extrapolate a location. The logged data may include locations ranging from a small area (e.g., an individual's home) to a large area (e.g., an individual's neighbor, city, or state). In some instances, logged data accepter module 1902 may include a computer processor.

The operation 2204 illustrates accepting a last known location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the location accepter module 1904 can accept a last known location of the at least one mobile device. In an embodiment, location accepter module 1904 may accept a location last reported by a tablet computer. The tablet computer may have been connected to a wireless router or a WiFi hotspot, for example at a Starbucks, and reported the location (e.g., the wireless router address at Starbucks, sending GPS coordinates of the Starbucks, etc.). The last known location may serve to indicate to an individual a more likely place that a mobile device was last located, for example in the case of a lost mobile device. Another example may be a location handling system, such as the system discussed in U.S. Pat. No. 7,783,279, which is incorporated herein by reference. In some instances, location accepter module 1904 may include a computer processor.

Further, the operation 2206 illustrates accepting global positioning system multilateration information associated with a location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the multilateration accepter module 1906 can accept global positioning system multilateration information associated with a location of the at least one mobile device. In an embodiment, multilateration accepter module 1906 may accept location information corresponding to a cell phone with GPS capability including GPS coordinates determined by using multilateration. Multilateration may include a navigation technique based on the measurement of the difference in distance to two or more stations at known locations that broadcast signals at known times. Measuring the difference in distance results in an infinite number of locations that satisfy the measurement. In the case of mobile device tracking, such as a smartphone or a cell phone, multiple base stations may be used to estimate phone location (by either the phone itself, or the phone network). Another example of utilizing a multillateration method to locate a device may be found in U.S. Pat. No. 7,702,338, which is incorporated herein by reference. In some instances, multilateration accepter module 1906 may include a computer processor.

Further, the operation 2208 illustrates accepting global positioning system triangulation information associated with a location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the triangulation accepter module 1908 can accept global positioning system triangulation information associated with a location of the at least one mobile device. In an embodiment, triangulation accepter module 1908 may accept location information corresponding to a Blackberry device by using a triangulation method for location. Triangulation may include the process of determining the location of a point (e.g., a mobile device) by measuring angles to it from known points (e.g., cell phone tower or base station) at either end of a fixed baseline. The point (e.g., a mobile device) can then be fixed as the third point of a triangle with one known side and two known angles. Another example of utilizing triangulation to determine location information may be found in U.S. Pat. No. 7,904,240, which is incorporated herein by reference. In some instances, triangulation accepter module 1908 may include a computer processor.

FIG. 23 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 23 illustrates example embodiments where the operation 2110 may include at least one additional operation. Additional operations may include an operation 2302, an operation 2304, and/or an operation 2306.

Further, the operation 2302 illustrates accepting cell tower triangulation information associated with a location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the cell triangulation accepter module 1910 can accept cell tower triangulation information associated with a location of the at least one mobile device. In an embodiment, cell triangulation accepter module 1910 may accept location information corresponding to a cell phone device by using a triangulation method for location. Triangulation may include the process of determining the location of a point (e.g., a mobile device) by measuring angles to it from known points (e.g., cell phone tower or base station) at either end of a fixed baseline. The point (e.g., a mobile device) can then be fixed as the third point of a triangle with one known side and two known angles. Another example of utilizing triangulation to determine location information may be found in U.S. Pat. No. 7,904,240, which is incorporated herein by reference. In some instances, triangulation accepter module 1908 may include a computer processor.

Further, the operation 2304 illustrates accepting trajectory information associated with the at least one mobile device. For example, as shown in FIGS. 1 through 3, the trajectory accepter module 1912 can accept trajectory information associated with the at least one mobile device. In an embodiment, trajectory accepter module 1912 may accept a reported trajectory associated with a smartphone that has GPS capability. In this embodiment, the reported trajectory may serve to determine a direction that a mobile device may travel. This may be useful, for example, to an individual that has misplaced the mobile phone. The individual may then determine and/or predict a location of the misplaced mobile device from the trajectory information and other known visited locations by determining a known visited location along the trajectory path. A trajectory of the mobile device may include the path that a moving object follows through space as a function of time, for example the mobile device. An example of using trajectory information may include U.S. Patent Publication No. 20110169947, which is incorporated herein by reference. In some instances, trajectory accepter module 1912 may include a computer processor.

Further, the operation 2306 illustrates accepting at least one location logged with a mapping program to determine the mobile device trajectory. For example, as shown in FIGS. 1 through 3, the program accepter module 1914 can accept at least one location logged with a mapping program to determine the mobile device trajectory. In an embodiment, program accepter module 1914 may accept a set of locations logged with Google maps to determine a travelled path and trajectory of a tablet computer, where the tablet computer is equipped with a GPS receiver device. Some examples of mapping programs may include ExpertGPS by TopoGrafix, Topofusion, Google Latitude, Google Maps, and/or Memory-map, available from memory-map.com. An example of utilizing a GPS mapping system may include the compact GPS tracker and customized mapping system found in U.S. Pat. No. 6,198,431, which is incorporated herein by reference. In some instances, program accepter module 1914 may include a computer processor.

FIG. 24 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 24 illustrates example embodiments where the operation 2110 may include at least one additional operation. Additional operations may include an operation 2402, and/or an operation 2404.

Further, the operation 2402 illustrates accepting inertial navigation data that includes a continuously reported location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the inertial data accepter module 1916 can accept inertial navigation data that includes at least one periodically reported location of the at least one mobile device. In an embodiment, inertial data accepter module 1916 may accept inertial navigation data that includes a set of data reported continuously for one week corresponding to a tablet computer, such as an iPad. A system that uses inertial navigation data may include a navigation aid that uses a computer, motion sensors (e.g., accelerometers) and rotation sensors (e.g., gyroscopes) to continuously calculate via dead reckoning the position, orientation, and velocity (e.g., direction and speed of movement) of a moving object without the need for external references. The inertial navigation system is initially provided with its position and velocity from another source (e.g., a human operator, a GPS satellite receiver, etc.), and thereafter computes its own updated position and velocity by integrating information received from the motion sensors. The advantage of an inertial navigation system is that it requires no external references in order to determine its position, orientation, or velocity once it has been initialized. An inertial navigation system can detect a change in its geographic position (e.g., a move east or north, for example), a change in its velocity (e.g., speed and direction of movement), and a change in its orientation (e.g., rotation about an axis). It does this by measuring the linear and angular accelerations applied to the system. An example of a personal inertial navigation system may be found in U.S. Patent Publication No. 2005/0033515, which is incorporated herein by reference. In some instances, inertial data accepter module 1916 may include a computer processor.

Further, the operation 2404 illustrates accepting forward-link timing information that includes at least one reported location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the timing information accepter module 1918 can accept forward-link timing information that includes at least one periodically reported location of the at least one mobile device. In an embodiment, timing information accepter module 1918 may accept forward-link timing information corresponding to a cell phone. A forward link may include the link from a fixed location (e.g., a base station) to a mobile user. If the link includes a communications relay satellite, the forward link will consist of both an uplink (i.e., base station to satellite) and a downlink (i.e., satellite to mobile user). A further example of a forward-link system may include the cell-phone alerting system in U.S. Patent Publication No. 2007/0129113, which is incorporated herein by reference. In some instances, timing information accepter module 1918 may include a computer processor.

FIG. 25 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 25 illustrates example embodiments where the operation 2110 may include at least one additional operation. Additional operations may include an operation 2502, an operation 2504, and/or an operation 2506.

Further, the operation 2502 illustrates accepting hybrid positioning system information that includes at least one periodically reported location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the hybrid system accepter module 1920 can accept hybrid positioning system information that includes at least one periodically reported location of the at least one mobile device. In an embodiment, hybrid system accepter module 1920 may accept information from a hybrid positioning system including GPS coordinate location information and cell tower location information corresponding to a GPS enabled smartphone. Hybrid positioning systems may include systems for finding the location of a mobile device using several different positioning technologies. Usually GPS (Global Positioning System) is one major component of such systems and may be combined with at least one cell tower signal, at least one wireless internet signal, at least one Bluetooth sensor, or other local Positioning Systems. These systems may be specifically designed to overcome the limitations of GPS, which is very exact in open areas, but works poorly indoors or between tall buildings (e.g., the urban canyon effect). By comparison, cell tower signals are not hindered by buildings or bad weather, but usually provide less precise positioning. Wi-Fi signals may give very exact positioning, but only in urban areas with high Wi-Fi density—and depend on a comprehensive database of Wi-Fi access points. Some different examples of hybrid positioning systems are currently being developed and used in services from, for example, Combain Mobile, Navizon, Xtify, PlaceEngine, SkyHook, Devicescape, Google Maps for Mobile, and openBmap for application in smartphones. In some instances, hybrid system accepter module 1920 may include a computer processor.

Further, the operation 2504 illustrates accepting network assisted global positioning system information that includes at least one periodically reported location of the at least one mobile device. For example, as shown in FIGS. 1 through 3, the reported location accepter module 1922 can accept network assisted global positioning system information that includes at least one periodically reported location of the at least one mobile device. In an embodiment, reported location accepter module 1922 may accept GPS location information assisted by home-based WiFi network location information associated with a GPS enabled computer tablet. Using both location systems may serve to provide a more accurate location and may better overcome the limitations that are associated with each system. Another example of a system using wireless network hybrid positioning may be found in U.S. Patent Publication No. 2005/0037775, which is incorporated herein by reference. In some instances, reported location accepter module 1922 may include a computer processor.

Further, the operation 2506 illustrates accepting global positioning system information and transmitting the global positioning system information via a network. For example, as shown in FIGS. 1 through 3, the GPS information accepter module 1924 can accept global positioning system information and transmitting the global positioning system information via a network. In an embodiment, GPS information accepter module 1924 may accept global positioning (GPS) location information corresponding to a tablet computer and transmit the GPS location information to a website by way of a wireless network in communication with the Internet. The Global Positioning System (GPS) may include a space-based satellite navigation system that provides location and time information. A GPS receiver, which may be included as part of the mobile device and/or GPS information accepter module 1924, may calculate position by precisely timing signals sent by GPS satellites and thereby calculate position of the GPS receiver. The position information may then be utilized to locate a misplaced mobile device, for example. In some instances, GPS information accepter module 1924 may include a computer processor.

FIG. 26 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 26 illustrates example embodiments where the operation 2120 may include at least one additional operation. Additional operations may include an operation 2602, an operation 2604, and/or an operation 2606.

The operation 2602 illustrates predicting a mobile device location utilizing at least one past reported location. For example, as shown in FIGS. 1 through 3, the reported location predictor module 1926 can predict a mobile device location utilizing at least one past reported location. In an embodiment, reported location predictor module 1926 may predict a smartphone location by using a set of twenty five past reported locations, for example a set of GPS location coordinates. Using past reported locations may serve to predict a more likely location that a mobile device may be located, such as in the case of a lost and/or misplaced mobile device. In some instances, reported location predictor module 1926 may include a computer processor.

Further, the operation 2604 illustrates predicting a mobile device location from at least one signal from at least one cell tower. For example, as shown in FIGS. 1 through 3, the cell tower predictor module 1928 can predict a mobile device location from at least one signal from at least one cell tower. In an embodiment, cell tower predictor module 1928 may predict a mobile device location by using multiple signals from multiple cell towers by using, for example, triangulation. A cell tower may include a cell site, or a site where antennas and electronic communications equipment may be placed, usually on a radio mast, tower or other high place, to create a cell in a cellular network. The elevated structure typically supports antennas and one or more sets of transmitter/receivers transceivers, digital signal processors, control electronics, a GPS receiver for timing (for CDMA2000/IS-95 or GSM systems), primary and backup electrical power sources, and/or sheltering. The working range of a cell site, or the range within which mobile devices can connect to it reliably, may not be a fixed figure. It may depend on a number of factors, potentially including the frequency of signal in use (i.e. the underlying technology), the transmitter's rated power, the required uplink/downlink data rate of the subscriber's device, the transmitter's size, the array setup of panels may cause the transmitter to be directional or omni-directional, and may also be limited by local geographical or regulatory factors and weather conditions. The signal from a cell tower may be used, for example, for geolocation. The strength of a signal from a cell tower may indicate the distance from the cell tower. The signal strength from multiple cell towers may indicate a more precise location if triangulation is used, and multilateration and/or multiangulation may be used to determine a more precise location corresponding to the mobile device. In some instances, cell tower predictor module 1928 may include a computer processor.

Further, the operation 2606 illustrates predicting a mobile device location from a signal strength from at least one cell tower. For example, as shown in FIGS. 1 through 3, the signal strength predictor module 1930 can predict a mobile device location from a signal strength from at least one cell tower. In an embodiment, signal strength predictor module 1930 may predict a cell phone location using signal strength from two cell towers. The signal strength from each tower may be utilized to determine at least an estimated distance from each tower and may be utilized to provide a location. As discussed in the previous paragraph, each cell tower signal strength may depend on different factors but may be used to determine location of a mobile device utilizing geolocation technology or other methods, such as multilateration and/or multiangulation. In some instances, signal strength predictor module 1930 may include a computer processor.

FIG. 27 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 27 illustrates example embodiments where the operation 2120 may include at least one additional operation. Additional operations may include an operation 2702, and/or an operation 2704.

The operation 2702 illustrates logging a trajectory using a known velocity and direction of the mobile device. For example, as shown in FIGS. 1 through 3, the logger module 1932 can log a trajectory using a known velocity and direction of the mobile device. In an embodiment, logger module 1932 may log a trajectory of a smartphone with a GPS receiver. The smartphone may use other instrumentation, such as an accelerometer or a compass, to determine velocity and direction the mobile device may be traveling. This information may be utilized to predict a path of a mobile device by using an interpolation or extrapolation method to determine the predicted location. An example of utilizing a trajectory of a cell phone for predictive connection transfer may be found in U.S. Patent Publication No. 2006/0121908, which is incorporated herein by reference. In some instances, logger module 1932 may include a computer processor.

Further, the operation 2704 illustrates analyzing at least one of projected signal strength, velocity, or direction of the mobile device. For example, as shown in FIGS. 1 through 3, the analyzer module 1934 can analyze at least one of projected signal strength, velocity, or direction of the mobile device. In an embodiment, analyzer module 1934 may analyze a direction and velocity of the mobile device by using a mapping program to determine and predict a likely location of a smartphone. The projected velocity and direction of a mobile device may be used, for example with mapping software, to determine on a map potential locations along the same direction the mobile device may be traveling. This may serve to predict the location of a mobile device in the event of, for example, a misplaced or lost mobile device. The analyzing step may be performed by a specifically programmed processor. In some instances, analyzer module 1934 may include a computer processor.

FIG. 28 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 28 illustrates example embodiments where the operation 2130 may include at least one additional operation. Additional operations may include an operation 2802, an operation 2804, and/or an operation 2806.

The operation 2802 illustrates presenting an indication of location of the mobile device to a second mobile device. For example, as shown in FIGS. 1 through 3, the mobile device presenter module 1936 can present an indication of location of the mobile device to a second mobile device. In an embodiment, mobile device presenter module 1936 may present a set of GPS coordinates of a cell phone that has been misplaced to a tablet computer where an individual may use the GPS coordinates from the tablet computer to locate the cell phone. Presenting an indication of location of a misplaced mobile device may serve to provide a convenient and/or efficient process for locating a misplaced and/or lost mobile device. In some instances, mobile device presenter module 1936 may include a computer processor.

Further, the operation 2804 illustrates presenting an indication of location of the mobile device to a second cell phone. For example, as shown in FIGS. 1 through 3, the cell phone presenter module 1938 can present an indication of location of the mobile device to a second cell phone. In an embodiment, cell phone presenter module 1938 may present an indication of location of a tablet computer (e.g., an IP address associated with a wireless router, where the mobile device is wirelessly connected to the router, for example, a router at a Starbucks store) to a cell phone possessed by an individual that misplaced the tablet computer. Presenting an indication of location information to a second device, such as a second cell phone, may serve to make locating a misplaced and/or lost mobile device easier to locate for an individual. In some instances, cell phone presenter module 1938 may include a computer processor.

Further, the operation 2806 illustrates presenting an indication of location of the mobile device to a dedicated cell phone. For example, as shown in FIGS. 1 through 3, the dedicated presenter module 1940 can present an indication of location of the mobile device to a dedicated cell phone. In an embodiment, dedicated presenter module 1940 may present a set of GPS coordinates to a dedicated cell phone. A dedicated device, such as the dedicated cell phone in the previous embodiment, may serve to receive location information for at least one mobile device, for example in the case of a misplaced mobile device. Some examples of a dedicated device may include a PC or laptop computer, another mobile device, (e.g., cell phone, smartphone, tablet computer, a PDA, a pager, a digital reader, a personal navigation device, and/or a digital camera), and/or a cable telivision receiver box. In another embodiment, an individual may have lost a tablet computer where the tablet computer is configured to detect misplacement (e.g., the tablet computer may include an accelerometer that is configured to detect an absence of movement for eight hours, in this case indicating misplacement) and present an indication of location by automatically sending location coordinates (e.g., GPS coordinates) to a computer system configured and used to receive location information for the mobile device. An example of a dedicated device may include a dedicated microprocessor, such as the dedicated microprocessor described in U.S. Pat. No. 5,877,724, which is incorporated herein by reference. In some instances, dedicated presenter module 1940 may include a computer processor.

FIG. 29 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 29 illustrates example embodiments where the operation 2130 may include at least one additional operation. Additional operations may include an operation 2902, an operation 2904, and/or an operation 2906.

The operation 2902 illustrates presenting an indication of location of the mobile device to a service provider. For example, as shown in FIGS. 1 through 3, the service provider presenter module 1942 can present an indication of location of the mobile device to a service provider. In an embodiment, service provider presenter module 1942 may present a set of GPS coordinates associated with a tablet computer, for example, to a data service provider, such as Verizon. A phone service provider may include a provider of network service and may include data and/or voice plans to a mobile device. Some examples of a phone service provider may include Sprint, AT&T, and Verizon as well as other similar providers. Some examples of another mobile device may include a tablet computer, a cell phone, or a smartphone. In some instances, service presenter module 1956 may include a computer processor.

The operation 2904 illustrates transmitting location information associated with the mobile device. For example, as shown in FIGS. 1 through 3, the location transmitter module 1944 can transmit location information of the mobile device. In an embodiment, location transmitter module 1944 may transmit location information, such as a set of GPS coordinates accurate to ±10 feet, where the location information is associated with a GPS receiver that is capable of transmitting the location to a secondary location, for example a personal computer. In this embodiment, an individual may determine the location of the GPS receiver from the location information transmitted to the personal computer. One example of transmitting location information may include transmitting a coordinate entry to a web page, for example. This example may be further discussed in U.S. Pat. No. 6,122,520, which is incorporated herein by reference. In some instances, location transmitter module 1944 may include a computer processor.

Further, the operation 2906 illustrates transmitting global positioning system coordinates. For example, as shown in FIGS. 1 through 3, the coordinate transmitter module 1946 can transmit global positioning system coordinates. In an embodiment, coordinate transmitter module 1946 may transmit global positioning system coordinates via a cellular network by sending a text message. The Global Positioning System (GPS) is a space-based satellite navigation system that provides location and time information in all weather, anywhere on or near the Earth, where there is an unobstructed line of sight to four or more GPS satellites. A GPS receiver may calculate its position by precisely timing the signals sent by GPS satellites high above the Earth. Each satellite continually transmits messages that include the time the message was transmitted; precise orbital information (the ephemeris); and the general system health and rough orbits of all GPS satellites (the almanac). The receiver uses the messages it receives to determine the transit time of each message and computes the distance to each satellite. These distances along with the satellites' locations are used with the possible aid of trilateration, depending on which algorithm is used, to compute the position of the receiver. This position is then displayed, perhaps with a moving map display or latitude and longitude; elevation information may be included. Many GPS units show derived information such as direction and speed, calculated from position changes. In some instances, coordinate transmitter module 1946 may include a computer processor.

FIG. 30 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 30 illustrates example embodiments where the operation 2130 may include at least one additional operation. Additional operations may include an operation 3002, and/or an operation 3004.

Further, the operation 3002 illustrates transmitting network location information. For example, as shown in FIGS. 1 through 3, the network transmitter module 1948 can transmit network location information. In an embodiment, network transmitter module 1948 may transmit location of a misplaced smartphone determined from a wireless local area network (LAN). A network may include a telecommunications network and/or a computer network. For example, a telecommunications network may include a collection of terminals, links, and/or nodes which may connect together to enable telecommunication between users of the terminals. These types of networks may use circuit switching or message switching. Each terminal in this type of network must have a unique address so messages or connections can be routed to the correct recipients. The collection of addresses in the network is called the address space. Network location information may be determined from a unique address of a terminal in the network, such as a smartphone that functions as a node in the network. A computer network, may include a collection of hardware components and computers interconnected by communication channels that allow sharing of resources and information. The rules and data formats for exchanging information in a computer network may be defined by communications protocols. Well-known communications protocols may include Ethernet, a hardware and Link Layer standard that is ubiquitous in local area networks, and the Internet Protocol Suite, which defines a set of protocols for internetworking (i.e. for data communication between multiple networks, as well as host-to-host data transfer, and application-specific data transmission formats). In some instances, network transmitter module 1948 may include a computer processor.

Further, the operation 3004 illustrates transmitting at least one of a global IP address or a wireless router address. For example, as shown in FIGS. 1 through 3, the address transmitter module 1950 can transmit at least one of a global IP address or a wireless router address. In an embodiment, address transmitter module 1950 may transmit a global IP address associated with a mobile device to a website that an individual may use to determine from the global IP address the location of the mobile device. This may serve to assist in locating a misplaced mobile device. A global IP address may include an Internet Protocol address (IP address), which may be a numerical label assigned to each device (e.g., computer, printer) participating in a computer network that uses the Internet Protocol for communication. An IP address may serve two principal functions: host or network interface identification and location addressing. The Internet Assigned Numbers Authority (IANA) manages the IP address space allocations globally and delegates five regional Internet registries (RIRs) to allocate IP address blocks to local Internet registries (Internet service providers) and other entities. The network interface identification and location addressing may indicate a physical location where a mobile device may be physically located if the mobile device is connected to a network at the IP address. One example oa an IP address allocation method may be found in U.S. Pat. No. 7,747,751, which is incorporated herein by reference. A Wireless router may include a device that performs the functions of a router but also includes the functions of a wireless access point and a network switch. They are commonly used to allow access to the Internet or a computer network without the need for a cabled connection. A router may include a device that forwards data packets between computer networks creating an overlay internetwork. A router is connected to two or more data lines from different networks. When a data packet comes in on one of the lines, the router reads the address information in the packet to determine its ultimate destination. Then, using information in its routing table or routing policy, it directs the packet to the next network on its journey. An example of a wireless router address may include the internal network address (LAN) and/or the external Internet connection (WAN). An example of a wireless router may be found in U.S. Pat. No. 7,010,303, which is incorporated herein by reference. In some instances, address transmitter module 1950 may include a computer processor.

FIG. 31 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 31 illustrates example embodiments where the operation 2130 may include at least one additional operation. Additional operations may include an operation 3102, an operation 3104, an operation 3106, and/or an operation 3108.

The operation 3102 illustrates detecting geolocation associated with the mobile device and transmitting the cell phone tower strength. For example, as shown in FIGS. 1 through 3, the detector module 1952 can detect cell phone tower signal strength and transmitting the cell phone tower strength. In an embodiment, detector module 1952 may detect geolocation of a cell phone and transmit the location of the mobile device to, for example, a third party. Geolocation may include the identification of a real-world geographic location of an object, such as a radar, mobile phone or an Internet-connected computer terminal. Geolocation is closely related to positioning but may be distinguished by a greater emphasis on determining a meaningful location (e.g. a street address) rather than just a set of geographic coordinates. Specifically this involves the use of advanced radio frequency (RF) location systems utilizing, for example, Time Difference Of Arrival (TDOA) where greater specificity of location is possible. TDOA systems often utilize mapping displays or other geographic information system. Internet and computer geolocation may be performed by associating a geographic location with an Internet Protocol (IP) address, a MAC address, an RFID, a hardware embedded article/production number, an embedded software number (e.g., UUID, Exif/IPTC/XMP or modern steganography), an invoice, a Wi-Fi connection location, and/or device GPS coordinates, or other, perhaps self-disclosed information. Geolocation usually works by automatically looking up an IP address on a WHOIS service and retrieving the registrant's physical address. In another embodiment, detector module 1952 may detect a geolocation of a misplaced smartphone by utilizing a WiFi connection location and transmitting the WiFi connection location to a cell phone that an individual possesses. The individual may then determine the location of the smartphone by using the WiFi connection location. In some instances, detector module 1952 may include a computer processor.

The operation 3104 illustrates presenting a sound that indicates location of the mobile device. For example, as shown in FIGS. 1 through 3, the sound presenter module 1954 can present a sound that indicates location of the mobile device. In an embodiment, sound presenter module 1954 may present a predetermined ringtone sound that indicates location of the mobile device. Some examples of a sound that may indicate location of the mobile device may include a ringtone, an audible beep, a jingle, or other sounds or combinations of sound. An example of creating and purchasing ringtones may be found in U.S. Patent Publication No. 2008/0167968, which is incorporated herein by reference. In some instances, sound presenter module 1954 may include a computer processor.

Further, the operation 3106 illustrates presenting a computer-created sound that indicates location of the mobile device. For example, as shown in FIGS. 1 through 3, the computer sound presenter module 1956 can present a computer-created sound that indicates location of the mobile device. In an embodiment, computer sound presenter module 1956 may present a computer-created song that indicates location of the mobile device. This may serve to let an individual know where a misplaced mobile device may be, for example a cell phone that has been lost behind a furniture cushion. Some examples of a computer-created sound may include computer or electronic music, a ringtone, a beep, or a recorded message. An example of creating a computer-created custom ringtone may be found in U.S. Pat. No. 7,546,148. In some instances, computer sound presenter module 1956 may include a computer processor.

Further, the operation 3108 illustrates presenting a computer-created voice that indicates location of the mobile device. For example, as shown in FIGS. 1 through 3, the computer voice presenter module 1958 can present a computer-created voice that indicates location of the mobile device. In an embodiment, computer voice presenter module 1958 may present a computer created voice that includes a voice repeatedly stating “alert.” This may serve to alert an individual of the location of the mobile device in the event of misplacement. In one embodiment, a computer-created voice may be interactive, such as the example found in U.S. Pat. No. 7,778,833, which is incorporated herein by reference. In some instances, computer voice presenter module 1958 may include a computer processor.

FIG. 32 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 32 illustrates example embodiments where the operation 2130 may include at least one additional operation. Additional operations may include an operation 3202, an operation 3204, and/or an operation 3206.

The operation 3202 illustrates presenting an indication for the mobile device to vibrate. For example, as shown in FIGS. 1 through 3, the vibration presenter module 1960 can present an indication for the mobile device to vibrate. In an embodiment, vibration presenter module 1960 may present an indication for the mobile device to trigger a vibrating alert. In this embodiment, a vibrating alert motor may be included in the mobile device. the vibrating alert motor may include a small electric motor coupled to an eccentric, or unbalanced weight. Utilizing a vibration may generally serve to alert an individual in the case of a noisy environment or in the case of a hearing impaired user. An additional reason may include increased sound, such as when the mobile device with a vibrating alert motor is placed on a firm or hard surface. In this case, the vibration may often be as loud or louder than a regular sound or ringtone because of the vibration against the firm of hard surface. An example of a mobile device including a vibrating alert motor may include a cell phone with a vibrating alert motor, such as the example described in U.S. Patent Publication No. 2008/0242287, which is incorporated herein by reference. In some instances, vibration presenter module 1960 may include a computer processor.

The operation 3204 illustrates presenting a visible indication of the mobile device location. For example, as shown in FIGS. 1 through 3, the visible indication presenter module 1962 can present a visible indication of the mobile device location. In an embodiment, visible indication presenter module 1962 may present an LED light to indicate the mobile device location. Presenting a visible indication of the mobile device may serve to locate a misplaced mobile device and may be especially helpful, for example, to an individual that may be hearing impaired. Some examples of a visible indication may include a light, such as an LED or an incandescent bulb, a strobe light, a backlit display, or a lit screen display. In one embodiment, visible indication presenter module 1962 may present a strobe light in order to indicate to an individual a misplaced tablet computer. In this embodiment, the strobe light may be included with the tablet computer, for example as part of a camera flash where the camera flash is utilized as the strobe light. Another example of a light mechanism for a cell phone may be found in U.S. Pat. No. 6,341,871, which is incorporated herein by reference. In some instances, visible indication presenter module 1962 may include a computer processor.

Further, the operation 3206 illustrates presenting at least a constant light, a blinking light, or a strobe light that indicates the mobile device location. For example, as shown in FIGS. 1 through 3, the light presenter module 1964 can present at least a constant light, a blinking light, or a strobe light that indicates the mobile device location. In an embodiment, light presenter module 1964 may present a blinking light that may indicate a misplaced smartphone to an individual. Presenting a blinking light may serve to be more visible and more effectively alert an individual to the location of a mobile device. A constant light may include an LED light source, an incandescent light source, or a flourescent light source, for example. A light that is constantly illuminated may serve to be more visible to an individual in a darkened setting, such as a room without any other light or solely ambient light. A strobe light may include a stroboscopic light, or a light that may be used to produce regular flashes of light, for example ten to twelve flashes of light per second. In an embodiment, light presenter module 1964 may present a strobe light that discharges light in a continuous mode for five minute intervals. Another example of a mobile device presenting a strobe light may include a cell phone with a built in flash, such as the device disclosed in U.S. Pat. No. 7,428,016, which is incorporated herein by reference. In some instances, light presenter module 1964 may include a computer processor.

FIG. 33 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 33 illustrates example embodiments where the operation 2130 may include at least one additional operation. Additional operations may include an operation 3302, an operation 3304, an operation 3306, and/or an operation 3308.

The operation 3302 illustrates presenting an indication of location of the mobile device to a third party. For example, as shown in FIGS. 1 through 3, the third party presenter module 1966 can present an indication of location of the mobile device to a third party. In an embodiment, third party presenter module 1966 may present an indication of location of the mobile device to an off location computer. In this embodiment, the mobile device may transmit an indication of location, such as a router web address or GPS coordinates, for example, to a computer programmed to receive GPS coordinates and alert the mobile device owner as to the location. Some examples of a third party may include an off location or remote computer, a mobile service provider, or a second mobile device. In some instances, third party presenter module 1966 may include a computer processor.

Further, the operation 3304 illustrates presenting an indication of location of the mobile device to at least one of a phone locating service or another mobile device. For example, as shown in FIGS. 1 through 3, the device presenter module 1968 can present an indication of location of the mobile device to at least one of a phone locating service or another mobile device. In an embodiment, device presenter module 1968 may present a set of GPS coordinates to a second mobile device. In this embodiment, an individual that has misplaced a first mobile device, a cell phone for example, may additionally possess a second mobile device, a computer tablet for example, that may be configured to accept an indication of location of the first mobile device, such as GPS coordinates. In a specific embodiment, an individual may misplace or lose a cell phone at a local store while shopping and upon arriving home, may realize the cell phone has been lost. In this example, the device presenter module 1968 may be configured to present a set of location coordinates to a tablet computer possessed by the individual where the individual can retrieve the lost cell phone according to the location coordinates. A phone locating service may include a service that uses computers, for example, configured to accept an indication of a mobile device and further report location of the mobile device. In some instances, the phone locating service may be for-profit and may offer a subscription service. A phone service provider may include a provider of network service and may include data and/or voice plans to a mobile device. Some examples of a phone service provider may include Sprint, AT&T, and Verizon as well as other similar providers. Some examples of another mobile device may include a tablet computer, a cell phone, or a smartphone. In some instances, device presenter module 1968 may include a computer processor.

Further, the operation 3306 illustrates presenting an indication of location of the mobile device to a security service. For example, as shown in FIGS. 1 through 3, the security service presenter module 1970 can present an indication of location of the mobile device to security service. In an embodiment, security service presenter module 1970 may present an indication including a set of GPS coordinates corresponding with a misplaced tablet computer to a security service that specializes in providing security for tablet computers to a subscribing individual. A security service may include a service that an individual may subscribe to and/or may be a fee based service. The security service may specialize in locating a mobile device, for example by receiving presented GPS coordinates and reporting the location of the mobile device. The security service may provide other types of location services and may be able to receive other types of location information, such as a network location and/or information from cell phone towers. In some instances, security service presenter module 1970 may include a computer processor.

The operation 3308 illustrates presenting an indication of location of the mobile device to a remote location. For example, as shown in FIGS. 1 through 3, the remote presenter module 1972 can present an indication of location of the mobile device to a remote location. In an embodiment, remote presenter module 1972 may present an indication of location of the mobile device, which is located in Phoenix, Ariz., to a computer in Los Angeles, Calif. The computer in Los Angeles may serve as an off-location service provider, for example. Additionally, presenting an indication of location of a mobile device to a remote location may serve as a backup location providing service. In some instances, remote presenter module 1972 may include a computer processor.

FIG. 34 illustrates alternative embodiments of the example operational flow 2100 of FIG. 21. FIG. 34 illustrates example embodiments where the operation 2130 may include at least one additional operation. Additional operations may include an operation 3402.

The operation 3402 illustrates accepting an indication of a known direction and velocity over a two hour period, where the known direction and the velocity associated with a smartphone equipped with a GPS receiver, predicting a location determined from the known direction and the velocity associated with the smartphone equipped with the GPS receiver, and presenting a predicted location to a personal computer. For example, as shown in FIGS. 1 through 3, the accepter module 1810, determiner module 1820, and presenter module 1830 can accept an indication of a known direction and velocity over a two hour period, where the known direction and the velocity associated with a smartphone equipped with a GPS receiver, predict a location determined from the known direction and the velocity associated with the smartphone equipped with the GPS receiver, and present a predicted location to a personal computer. In some instances, accepter module 1810 may include a computer processor. In some instances, determiner module 1820 may include a computer processor. In some instances, presenter module 1830 may include a computer processor.

FIG. 35 illustrates a partial view of an example computer program product 3500 that includes a computer program 3504 for executing a computer process on a computing device. An embodiment of the example computer program product 3500 is provided using a signal-bearing medium 3502, and may include one or more instructions for accepting an indication of a traveled path of at least one mobile device over a specified time period; one or more instructions for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and one or more instructions for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. The one or more instructions may be, for example, computer executable and/or logic-implemented instructions. In one implementation, the signal-bearing medium 3502 may include a computer-readable medium 3506. In one implementation, the signal bearing medium 3502 may include a recordable medium 3508. In one implementation, the signal bearing medium 3502 may include a communications medium 3510.

FIG. 36 illustrates an example system 3600 in which embodiments may be implemented. The system 3600 includes a computing system environment. The system 3600 also illustrates the user 118 using a device 3604, which is optionally shown as being in communication with a computing device 3602 by way of an optional coupling 3606. The optional coupling 3606 may represent a local, wide-area, or peer-to-peer network, or may represent a bus that is internal to a computing device (e.g., in example embodiments in which the computing device 3602 is contained in whole or in part within the device 3604). A storage medium 3608 may be any computer storage media.

The computing device 3602 includes computer-executable instructions 3610 that when executed on the computing device 3602 cause the computing device 3602 to accept an indication of a traveled path of at least one mobile device over a specified time period; determine a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; and present an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device. As referenced above and as shown in FIG. 36, in some examples, the computing device 3602 may optionally be contained in whole or in part within the device 3604.

In FIG. 36, then, the system 3600 includes at least one computing device (e.g., 3602 and/or 3604). The computer-executable instructions 3610 may be executed on one or more of the at least one computing device. For example, the computing device 3602 may implement the computer-executable instructions 3610 and output a result to (and/or receive data from) the computing device 3604. Since the computing device 3602 may be wholly or partially contained within the computing device 3604, the device 3604 also may be said to execute some or all of the computer-executable instructions 3610, in order to be caused to perform or implement, for example, various ones of the techniques described herein, or other techniques.

The device 3604 may include, for example, a portable computing device, workstation, or desktop computing device. In another example embodiment, the computing device 3602 is operable to communicate with the device 3604 associated with the user 118 to receive information about the input from the user 118 for performing data access and data processing and presenting an output of the user-health test function at least partly based on the user data.

Those skilled in the art will appreciate that the foregoing specific exemplary processes and/or devices and/or technologies are representative of more general processes and/or devices and/or technologies taught elsewhere herein, such as in the claims filed herewith and/or elsewhere in the present application.

Those having skill in the art will recognize that the state of the art has progressed to the point where there is little distinction left between hardware, software, and/or firmware implementations of aspects of systems; the use of hardware, software, and/or firmware is generally (but not always, in that in certain contexts the choice between hardware and software can become significant) a design choice representing cost vs. efficiency tradeoffs. Those having skill in the art will appreciate that there are various vehicles by which processes and/or systems and/or other technologies described herein can be effected (e.g., hardware, software, and/or firmware), and that the preferred vehicle will vary with the context in which the processes and/or systems and/or other technologies are deployed. For example, if an implementer determines that speed and accuracy are paramount, the implementer may opt for a mainly hardware and/or firmware vehicle; alternatively, if flexibility is paramount, the implementer may opt for a mainly software implementation; or, yet again alternatively, the implementer may opt for some combination of hardware, software, and/or firmware. Hence, there are several possible vehicles by which the processes and/or devices and/or other technologies described herein may be effected, none of which is inherently superior to the other in that any vehicle to be utilized is a choice dependent upon the context in which the vehicle will be deployed and the specific concerns (e.g., speed, flexibility, or predictability) of the implementer, any of which may vary. Those skilled in the art will recognize that optical aspects of implementations will typically employ optically-oriented hardware, software, and or firmware.

In some implementations described herein, logic and similar implementations may include software or other control structures suitable to operation. Electronic circuitry, for example, may manifest one or more paths of electrical current constructed and arranged to implement various logic functions as described herein. In some implementations, one or more media are configured to bear a device-detectable implementation if such media hold or transmit a special-purpose device instruction set operable to perform as described herein. In some variants, for example, this may manifest as an update or other modification of existing software or firmware, or of gate arrays or other programmable hardware, such as by performing a reception of or a transmission of one or more instructions in relation to one or more operations described herein. Alternatively or additionally, in some variants, an implementation may include special-purpose hardware, software, firmware components, and/or general-purpose components executing or otherwise invoking special-purpose components. Specifications or other implementations may be transmitted by one or more instances of tangible transmission media as described herein, optionally by packet transmission or otherwise by passing through distributed media at various times.

Alternatively or additionally, implementations may include executing a special-purpose instruction sequence or otherwise invoking circuitry for enabling, triggering, coordinating, requesting, or otherwise causing one or more occurrences of any functional operations described above. In some variants, operational or other logical descriptions herein may be expressed directly as source code and compiled or otherwise invoked as an executable instruction sequence. In some contexts, for example, C++ or other code sequences can be compiled directly or otherwise implemented in high-level descriptor languages (e.g., a logic-synthesizable language, a hardware description language, a hardware design simulation, and/or other such similar mode(s) of expression). Alternatively or additionally, some or all of the logical expression may be manifested as a Verilog-type hardware description or other circuitry model before physical implementation in hardware, especially for basic operations or timing-critical applications. Those skilled in the art will recognize how to obtain, configure, and optimize suitable transmission or computational elements, material supplies, actuators, or other common structures in light of these teachings.

The foregoing detailed description has set forth various embodiments of the devices and/or processes via the use of block diagrams, flowcharts, and/or examples. Insofar as such block diagrams, flowcharts, and/or examples contain one or more functions and/or operations, it will be understood by those within the art that each function and/or operation within such block diagrams, flowcharts, or examples can be implemented, individually and/or collectively, by a wide range of hardware, software, firmware, or virtually any combination thereof. In one embodiment, several portions of the subject matter described herein may be implemented via Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), digital signal processors (DSPs), or other integrated formats. However, those skilled in the art will recognize that some aspects of the embodiments disclosed herein, in whole or in part, can be equivalently implemented in integrated circuits, as one or more computer programs running on one or more computers (e.g., as one or more programs running on one or more computer systems), as one or more programs running on one or more processors (e.g., as one or more programs running on one or more microprocessors), as firmware, or as virtually any combination thereof, and that designing the circuitry and/or writing the code for the software and or firmware would be well within the skill of one of skill in the art in light of this disclosure. In addition, those skilled in the art will appreciate that the mechanisms of the subject matter described herein are capable of being distributed as a program product in a variety of forms, and that an illustrative embodiment of the subject matter described herein applies regardless of the particular type of signal bearing medium used to actually carry out the distribution. Examples of a signal bearing medium include, but are not limited to, the following: a recordable type medium such as a floppy disk, a hard disk drive, a Compact Disc (CD), a Digital Video Disk (DVD), a digital tape, a computer memory, etc.; and a transmission type medium such as a digital and/or an analog communication medium (e.g., a fiber optic cable, a waveguide, a wired communications link, a wireless communication link (e.g., transmitter, receiver, transmission logic, reception logic, etc.), etc.).

In a general sense, those skilled in the art will recognize that the various embodiments described herein can be implemented, individually and/or collectively, by various types of electro-mechanical systems having a wide range of electrical components such as hardware, software, firmware, and/or virtually any combination thereof; and a wide range of components that may impart mechanical force or motion such as rigid bodies, spring or torsional bodies, hydraulics, electro-magnetically actuated devices, and/or virtually any combination thereof. Consequently, as used herein “electro-mechanical system” includes, but is not limited to, electrical circuitry operably coupled with a transducer (e.g., an actuator, a motor, a piezoelectric crystal, a Micro Electro Mechanical System (MEMS), etc.), electrical circuitry having at least one discrete electrical circuit, electrical circuitry having at least one integrated circuit, electrical circuitry having at least one application specific integrated circuit, electrical circuitry forming a general purpose computing device configured by a computer program (e.g., a general purpose computer configured by a computer program which at least partially carries out processes and/or devices described herein, or a microprocessor configured by a computer program which at least partially carries out processes and/or devices described herein), electrical circuitry forming a memory device (e.g., forms of memory (e.g., random access, flash, read only, etc.)), electrical circuitry forming a communications device (e.g., a modem, communications switch, optical-electrical equipment, etc.), and/or any non-electrical analog thereto, such as optical or other analogs. Those skilled in the art will also appreciate that examples of electro-mechanical systems include but are not limited to a variety of consumer electronics systems, medical devices, as well as other systems such as motorized transport systems, factory automation systems, security systems, and/or communication/computing systems. Those skilled in the art will recognize that electro-mechanical as used herein is not necessarily limited to a system that has both electrical and mechanical actuation except as context may dictate otherwise.

In a general sense, those skilled in the art will recognize that the various aspects described herein which can be implemented, individually and/or collectively, by a wide range of hardware, software, firmware, and/or any combination thereof can be viewed as being composed of various types of “electrical circuitry.” Consequently, as used herein “electrical circuitry” includes, but is not limited to, electrical circuitry having at least one discrete electrical circuit, electrical circuitry having at least one integrated circuit, electrical circuitry having at least one application specific integrated circuit, electrical circuitry forming a general purpose computing device configured by a computer program (e.g., a general purpose computer configured by a computer program which at least partially carries out processes and/or devices described herein, or a microprocessor configured by a computer program which at least partially carries out processes and/or devices described herein), electrical circuitry forming a memory device (e.g., forms of memory (e.g., random access, flash, read only, etc.)), and/or electrical circuitry forming a communications device (e.g., a modem, communications switch, optical-electrical equipment, etc.). Those having skill in the art will recognize that the subject matter described herein may be implemented in an analog or digital fashion or some combination thereof.

Those skilled in the art will recognize that at least a portion of the devices and/or processes described herein can be integrated into a data processing system. Those having skill in the art will recognize that a data processing system generally includes one or more of a system unit housing, a video display device, memory such as volatile or non-volatile memory, processors such as microprocessors or digital signal processors, computational entities such as operating systems, drivers, graphical user interfaces, and applications programs, one or more interaction devices (e.g., a touch pad, a touch screen, an antenna, etc.), and/or control systems including feedback loops and control motors (e.g., feedback for sensing position and/or velocity; control motors for moving and/or adjusting components and/or quantities). A data processing system may be implemented utilizing suitable commercially available components, such as those typically found in data computing/communication and/or network computing/communication systems.

Those skilled in the art will recognize that it is common within the art to implement devices and/or processes and/or systems, and thereafter use engineering and/or other practices to integrate such implemented devices and/or processes and/or systems into more comprehensive devices and/or processes and/or systems. That is, at least a portion of the devices and/or processes and/or systems described herein can be integrated into other devices and/or processes and/or systems via a reasonable amount of experimentation. Those having skill in the art will recognize that examples of such other devices and/or processes and/or systems might include—as appropriate to context and application—all or part of devices and/or processes and/or systems of (a) an air conveyance (e.g., an airplane, rocket, helicopter, etc.), (b) a ground conveyance (e.g., a car, truck, locomotive, tank, armored personnel carrier, etc.), (c) a building (e.g., a home, warehouse, office, etc.), (d) an appliance (e.g., a refrigerator, a washing machine, a dryer, etc.), (e) a communications system (e.g., a networked system, a telephone system, a Voice over IP system, etc.), (f) a business entity (e.g., an Internet Service Provider (ISP) entity such as Comcast Cable, Qwest, Southwestern Bell, etc.), or (g) a wired/wireless services entity (e.g., Sprint, Cingular, Nextel, etc.), etc.

In certain cases, use of a system or method may occur in a territory even if components are located outside the territory. For example, in a distributed computing context, use of a distributed computing system may occur in a territory even though parts of the system may be located outside of the territory (e.g., relay, server, processor, signal-bearing medium, transmitting computer, receiving computer, etc. located outside the territory).

A sale of a system or method may likewise occur in a territory even if components of the system or method are located and/or used outside the territory.

Further, implementation of at least part of a system for performing a method in one territory does not preclude use of the system in another territory.

All of the above U.S. patents, U.S. patent application publications, U.S. patent applications, foreign patents, foreign patent applications and non-patent publications referred to in this specification and/or listed in any Application Data Sheet, are incorporated herein by reference, to the extent not inconsistent herewith.

One skilled in the art will recognize that the herein described components (e.g., operations), devices, objects, and the discussion accompanying them are used as examples for the sake of conceptual clarity and that various configuration modifications are contemplated. Consequently, as used herein, the specific exemplars set forth and the accompanying discussion are intended to be representative of their more general classes. In general, use of any specific exemplar is intended to be representative of its class, and the non-inclusion of specific components (e.g., operations), devices, and objects should not be taken limiting.

With respect to the use of substantially any plural and/or singular terms herein, those having skill in the art can translate from the plural to the singular and/or from the singular to the plural as is appropriate to the context and/or application. The various singular/plural permutations are not expressly set forth herein for sake of clarity.

The herein described subject matter sometimes illustrates different components contained within, or connected with, different other components. It is to be understood that such depicted architectures are merely exemplary, and that in fact many other architectures may be implemented which achieve the same functionality. In a conceptual sense, any arrangement of components to achieve the same functionality is effectively “associated” such that the desired functionality is achieved. Hence, any two components herein combined to achieve a particular functionality can be seen as “associated with” each other such that the desired functionality is achieved, irrespective of architectures or intermedial components. Likewise, any two components so associated can also be viewed as being “operably connected”, or “operably coupled,” to each other to achieve the desired functionality, and any two components capable of being so associated can also be viewed as being “operably couplable,” to each other to achieve the desired functionality. Specific examples of operably couplable include but are not limited to physically mateable and/or physically interacting components, and/or wirelessly interactable, and/or wirelessly interacting components, and/or logically interacting, and/or logically interactable components.

In some instances, one or more components may be referred to herein as “configured to,” “configurable to,” “operable/operative to,” “adapted/adaptable,” “able to,” “conformable/conformed to,” etc. Those skilled in the art will recognize that “configured to” can generally encompass active-state components and/or inactive-state components and/or standby-state components, unless context requires otherwise.

While particular aspects of the present subject matter described herein have been shown and described, it will be apparent to those skilled in the art that, based upon the teachings herein, changes and modifications may be made without departing from the subject matter described herein and its broader aspects and, therefore, the appended claims are to encompass within their scope all such changes and modifications as are within the true spirit and scope of the subject matter described herein. It will be understood by those within the art that, in general, terms used herein, and especially in the appended claims (e.g., bodies of the appended claims) are generally intended as “open” terms (e.g., the term “including” should be interpreted as “including but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as “includes but is not limited to,” etc.). It will be further understood by those within the art that if a specific number of an introduced claim recitation is intended, such an intent will be explicitly recited in the claim, and in the absence of such recitation no such intent is present. For example, as an aid to understanding, the following appended claims may contain usage of the introductory phrases “at least one” and “one or more” to introduce claim recitations. However, the use of such phrases should not be construed to imply that the introduction of a claim recitation by the indefinite articles “a” or “an” limits any particular claim containing such introduced claim recitation to claims containing only one such recitation, even when the same claim includes the introductory phrases “one or more” or “at least one” and indefinite articles such as “a” or “an” (e.g., “a” and/or “an” should typically be interpreted to mean “at least one” or “one or more”); the same holds true for the use of definite articles used to introduce claim recitations. In addition, even if a specific number of an introduced claim recitation is explicitly recited, those skilled in the art will recognize that such recitation should typically be interpreted to mean at least the recited number (e.g., the bare recitation of “two recitations,” without other modifiers, typically means at least two recitations, or two or more recitations). Furthermore, in those instances where a convention analogous to “at least one of A, B, and C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, and C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). In those instances where a convention analogous to “at least one of A, B, or C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, or C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). It will be further understood by those within the art that typically a disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms unless context dictates otherwise. For example, the phrase “A or B” will be typically understood to include the possibilities of “A” or “B” or “A and B.”

With respect to the appended claims, those skilled in the art will appreciate that recited operations therein may generally be performed in any order. Also, although various operational flows are presented in a sequence(s), it should be understood that the various operations may be performed in other orders than those which are illustrated, or may be performed concurrently. Examples of such alternate orderings may include overlapping, interleaved, interrupted, reordered, incremental, preparatory, supplemental, simultaneous, reverse, or other variant orderings, unless context dictates otherwise. Furthermore, terms like “responsive to,” “related to,” or other past-tense adjectives are generally not intended to exclude such variants, unless context dictates otherwise.

While various aspects and embodiments have been disclosed herein, other aspects and embodiments will be apparent to those skilled in the art. The various aspects and embodiments disclosed herein are for purposes of illustration and are not intended to be limiting, with the true scope and spirit being indicated by the following claims.

Claims

1. A system comprising: means for accepting an indication of a traveled path of at least one mobile device over a specified time period;means for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; andmeans for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device.

2. The system of claim 1, wherein the means for accepting an indication of a traveled path of at least one mobile device over a specified time period comprises: means for accepting logged data including at least two locations of the at least one mobile device.

3. The system of claim 1, wherein the means for accepting an indication of a traveled path of at least one mobile device over a specified time period comprises: means for accepting a last known location of the at least one mobile device.

4. The system of claim 3, wherein the means for accepting a last known location of the at least one mobile device comprises: means for accepting global positioning system multilateration information associated with a location of the at least one mobile device.

5. The system of claim 3, wherein the means for accepting a last known location of the at least one mobile device comprises: means for accepting global positioning system triangulation information associated with a location of the at least one mobile device.

6. The system of claim 3, wherein the means for accepting a last known location of the at least one mobile device comprises: means for accepting cell tower triangulation information associated with a location of the at least one mobile device.

7. The system of claim 3, wherein the means for accepting a last known location of the at least one mobile device comprises: means for accepting trajectory information associated with the at least one mobile device.

8. (canceled)

9. The system of claim 3, wherein the means for accepting a last known location of the at least one mobile device comprises: means for accepting inertial navigation data that includes a continuously reported location of the at least one mobile device.

10. The system of claim 3, wherein the means for accepting a last known location of the at least one mobile device comprises: means for accepting forward-link timing information that includes at least one reported location of the at least one mobile device.

11.-16. (canceled)

17. The system of claim 1, wherein the means for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period comprises: means for logging a trajectory using a known velocity and direction of the mobile device.

18. The system of claim 17, wherein the means for logging a trajectory using a known velocity and direction of the mobile device comprises: means for analyzing at least one of projected signal strength, velocity, or direction of the mobile device.

19. The system of claim 1, wherein the means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for presenting an indication of location of the mobile device to a second mobile device.

20.-21. (canceled)

22. The system of claim 1, wherein the means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for presenting an indication of location of the mobile device to a service provider.

23. The system of claim 1, wherein the means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for transmitting location information associated with the mobile device.

24. The system of claim 23, wherein the means for transmitting location information associated with the mobile device comprises: means for transmitting global positioning system coordinates.

25. The system of claim 23, wherein the means for transmitting location information associated with the mobile device comprises: means for transmitting network location information.

26. The system of claim 25, wherein the means for transmitting network location information comprises: means for transmitting at least one of a global IP address or a wireless router address.

27. The system of claim 1, wherein the means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for detecting geolocation associated with the mobile device and transmitting the cell phone tower strength.

28. The system of claim 1, wherein means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for presenting a sound that indicates location of the mobile device.

29. The system of claim 28, wherein means for presenting a sound that indicates location of the mobile device comprises: means for presenting a computer-created sound that indicates location of the mobile device.

30. The system of claim 29, wherein means for presenting a computer-created sound that indicates location of the mobile device comprises: means for presenting a computer-created voice that indicates location of the mobile device.

31. The system of claim 1, wherein means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for presenting an indication for the mobile device to vibrate.

32. The system of claim 1, wherein means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for presenting a visible indication of the mobile device location.

33. The system of claim 32, wherein means for presenting a visible indication of the mobile device location comprises: means for presenting at least a constant light, a blinking light, or a strobe light that indicates the mobile device location.

34. The system of claim 1, wherein means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for presenting an indication of location of the mobile device to a third party.

35. The system of claim 34, wherein means for presenting an indication of location of the mobile device to a third party comprises: means for presenting an indication of location of the mobile device to at least one of a phone locating service or another mobile device.

36. The system of claim 34, wherein the means for presenting an indication of location of the mobile device to a third party comprises: means for presenting an indication of location of the mobile device to a security service.

37. The system of claim 1, wherein means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises: means for presenting an indication of location of the mobile device to a remote location.

38. The system of claim 1, wherein means for accepting an indication of a traveled path of at least one mobile device over a specified time period, means for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period and means for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device comprises:means for accepting an indication of a known direction and velocity over a two hour period, where the known direction and the velocity associated with a smartphone equipped with a GPS receiver, predicting a location determined from the known direction and the velocity associated with the smartphone equipped with the GPS receiver, and presenting a predicted location to a personal computer.

39. A computer-implemented method comprising: accepting an indication of a traveled path of at least one mobile device over a specified time period;determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; andpresenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device.

40.-76. (canceled)

77. A system, comprising: circuitry for accepting an indication of a traveled path of at least one mobile device over a specified time period;circuitry for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; andcircuitry for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device.

78. An article of manufacture comprising: a non-transitory signal-bearing medium bearing one or more instructions for accepting an indication of a traveled path of at least one mobile device over a specified time period;one or more instructions for determining, using a microprocessor, a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; andone or more instructions for presenting an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device.

79.-81. (canceled)

82. A system comprising: a computing device; andinstructions that when executed on the computing device cause the computing device to accept an indication of a traveled path of at least one mobile device over a specified time period; determine a predicted location of the at least one mobile device at least partly based on receiving the indication of the traveled path over a specified time period; andpresent an indication of the predicted location of the at least one mobile device at least partially based on accepting an indication of a traveled path and determining a predicted location of the at least one mobile device.

83.-84. (canceled)