This invention relates to the field of portable devices and, in particular, to systems and methods for sensing or determining user activities and responding to the user's activities.
Portable devices, such as cell phones, are becoming increasingly common. These portable devices have grown more complex over time, incorporating many features including, for example, MP3 player capabilities, web browsing capabilities, capabilities of personal digital assistants (PDAs) and the like.
The battery life of these portable devices, however, can be limited. Often, the primary draw of battery power is the display device for these portable devices and, in particular, the backlight, which can be used to illuminate the display device. In many current portable devices, an exemplary process 10 for illuminating the display is shown in
In addition, users often inadvertently enter key inputs on the input device of the portable device, which can result in the telephone performing operations which the user did not intend. For example, the backlight may illuminate, a telephone number may be dialed, a ring setting may be changed, etc., because the user accidentally contacts a key on the input device. The inadvertent entry of an input is particularly troublesome for a touch screen device, especially one which may receive an inadvertent input when a user has the portable device placed next to the user's ear.
The various methods and devices described herein relate to devices which, in at least certain embodiments, may include one or more sensors, such as a proximity sensor, for providing data relating to user activity and at least one processor for causing the device to respond based on the user activity which was determined, at least in part, through the sensors. The response by the device may include a change of state of the device, and the response may be automatically performed after the user activity is determined.
According to one embodiment of the inventions, a method includes receiving data from at least one sensor, such as a proximity sensor, at a device, analyzing the data to determine activity of a user of the device, and modifying, in response to the analyzing, at least one setting of the device such as a setting relating to how input data from an input device is processed. The device may be a telephone, such as a cell phone, or an integrated telephone and media player, or other types of devices which can include the sensor and logic to process data from the sensor and the input device may be a keypad or a multi-touch input panel. The sensors may be any one of a variety of sensors including, for example, a proximity sensor, a temperature sensor, an accelerometer, a light sensor, a position determination device, an orientation determination device, a radio frequency electromagnetic wave sensor, a touch input panel, a motion sensor, or a sound sensor. In certain embodiments, the device may include a plurality of sensors which together provide data to at least one processor which analyzes the data to determine activity of the user. In at least certain embodiments, the analyzing may use an artificial intelligence process which includes a comparison of data, derived from the one or more sensors, to a threshold; for example, the data from a proximity sensor may be compared to a threshold value which represents a distance between a portion of the device and the user's ear or head. The data from a sensor may represent an analog value detected by the sensor; the analog value may indicate any one of a variety of analog values including, for example, a distance, a temperature, a light intensity, a measurement of motion or orientation, a measurement of sound intensity or an RF electromagnetic measurement. The artificial intelligence process, in at least certain embodiments, may be required to receive the data and to select an interpretation of the data from a set of possible interpretations, and the interpretation which is selected will in turn be used to decide how to modify the at least one setting. The setting which is modified may be any one of a variety of settings including, for example, a setting of a display illuminator, a setting of a sound input or sound output parameter, a setting of a state of an input device relative to receipt of user input, a setting of a communication parameter, a setting of a processor, or a setting of the mode of the device (e.g. cell phone mode or media player mode).
Various devices which perform one or more of the foregoing methods and machine readable media which, when executed by a processing system, cause the processing system to perform these methods, are also described.
According to another embodiment of the inventions, a method of operating a portable device having a hinge includes sensing a state of the hinge, analyzing data from a proximity sensor when the state of the hinge shows that the portable device is in an open configuration, and modifying at least one setting of the portable device in response to the analyzing. In at least certain embodiments, when the state of the hinge indicates that the portable device is in a closed configuration, the data from the proximity sensor is either ignored or not processed to determine whether a user's head or ear is near the proximity sensor; further, when in this closed configuration, the proximity sensor is placed in a reduced power consumption state. An implementation of one or more of these methods may be performed by a cellular telephone which typically includes a first housing, a second housing, a hinge which couples the first housing to the second housing, a hinge state detector to detect a state of the hinge, a proximity sensor, and at least one processor coupled to the proximity sensor and to the hinge state detector.
Other methods, devices and machine readable media are also described.
The invention is described by way of example with reference to the accompanying drawings, wherein:
Various embodiments and aspects of the inventions will be described with reference to details discussed below, and the accompanying drawings will illustrate the various embodiments. The following description and drawings are illustrative of the invention and are not to be construed as limiting the invention. Numerous specific details are described to provide a thorough understanding of various embodiments of the present invention. However, in certain instances, well-known or conventional details are not described in order to provide a concise discussion of embodiments of the present inventions.
Some portions of the detailed descriptions which follow are presented in terms of algorithms which include operations on data stored within a computer memory. An algorithm is generally a self-consistent sequence of operations leading to a desired result. The operations typically require or involve physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like.
It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the following discussion, it is appreciated that throughout the description, discussions utilizing terms such as “processing” or “computing” or “calculating” or “determining” or “displaying” or the like, can refer to the action and processes of a data processing system, or similar electronic device, that manipulates and transforms data represented as physical (electronic) quantities within the system's registers and memories into other data similarly represented as physical quantities within the system's memories or registers or other such information storage, transmission or display devices.
The present invention can relate to an apparatus for performing one or more of the operations described herein. This apparatus may be specially constructed for the required purposes, or it may comprise a general purpose computer selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a machine (e.g. computer) readable storage medium, such as, but is not limited to, any type of disk including floppy disks, optical disks, CD-ROMs, and magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), erasable programmable ROMs (EPROMs), electrically erasable programmable ROMs (EEPROMs), magnetic or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a bus.
A machine-readable medium includes any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer). For example, a machine-readable medium includes read only memory (“ROM”); random access memory (“RAM”); magnetic disk storage media; optical storage media; flash memory devices; electrical, optical, acoustical or other form of propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.); etc.
At least certain embodiments of the present inventions include one or more sensors to monitor user activity. At least certain embodiments of the present inventions also include automatically changing a state of the portable device based on user activity, such as, for example, automatically activating or deactivating a backlight of a display device of the portable device or setting an input device of the portable device to a particular state, based on certain predetermined user activities.
At least certain embodiments of the inventions may be part of a digital media player, such as a portable music and/or video media player, which may include a media processing system to present the media, a storage device to store the media and may further include a radio frequency (RF) transceiver (e.g., an RF transceiver for a cellular telephone) coupled with an antenna system and the media processing system. In certain embodiments, media stored on a remote storage device may be transmitted to the media player through the RF transceiver. The media may be, for example, one or more of music or other audio, still pictures, or motion pictures.
The portable media player may include a media selection device, such as a click wheel input device on an iPod® or iPod Nano® media player from Apple Computer, Inc. of Cupertino, Calif., a touch screen input device, pushbutton device, movable pointing input device or other input device. The media selection device may be used to select the media stored on the storage device and/or the remote storage device. The portable media player may, in at least certain embodiments, include a display device which is coupled to the media processing system to display titles or other indicators of media being selected through the input device and being presented, either through a speaker or earphone(s), or on the display device, or on both display device and a speaker or earphone(s). Examples of a portable media player are described in published U.S. patent application numbers 2003/0095096 and 2004/0224638 both of which are incorporated herein by reference.
Embodiments of the inventions described herein may be part of other types of data processing systems, such as, for example, entertainment systems or personal digital assistants (PDAs), or general purpose computer systems, or special purpose computer systems, or an embedded device within another device, or cellular telephones which do not include media players, or devices which combine aspects or functions of these devices (e.g., a media player, such as an iPod®, combined with a PDA, an entertainment system, and a cellular telephone in one portable device).
The display device 34 is shown positioned at an upper portion of the housing 32, and the input device 36 is shown positioned at a lower portion of the housing 32. The antenna 42 is shown extending from the housing 32 at an upper portion of the housing 32. The speaker 38 is also shown at an upper portion of the housing 32 above the display device 34. The microphone 40 is shown at a lower portion of the housing 32, below the input device 36. It will be appreciated that the speaker 38 and microphone 40 can be positioned at any location on the housing, but are typically positioned in accordance with a user's ear and mouth, respectively. The proximity sensor 44 is shown at or near the speaker 38 and at least partially within the housing 32. The accelerometer 46 is shown at a lower portion of the housing 32 and within the housing 32. It will be appreciated that the particular locations of the above-described features may vary in alternative embodiments.
The display device 34 may be, for example, a liquid crystal display (LCD) which does not include the ability to accept inputs or a touch input screen which also includes an LCD. The input device 36 may include, for example, buttons, switches, dials, sliders, keys or keypad, navigation pad, touch pad, touch screen, and the like.
Any well-known speaker, microphone and antenna can be used for speaker 38, microphone 40 and antenna 42, respectively.
The proximity sensor 44 may detect location (e.g. X, Y, Z), direction, speed, orientation (e.g., roll, pitch, yaw), etc. of objects relative to the wireless device 30. A location of an object relative to the wireless device can be represented as a distance in at least certain embodiments. The proximity sensor may generate location or movement data or both, which may be used to determine the location of objects relative to the portable device 30 and/or proximity sensor 44. An example of a proximity sensor is shown in
In addition, a processing device (not shown) is coupled to the proximity sensor(s) 44. The processing device may be used to determine the location of objects relative to the portable device 30 or proximity sensor 44 or both based on the location and/or movement data provided by the proximity sensor 44. The proximity sensor may continuously or periodically monitor the object location. The proximity sensor may also be able to determine the type of object it is detecting.
Additional information about proximity sensors can be found in U.S. patent application Ser. No. 11/241,839, titled “PROXIMITY DETECTOR IN HANDHELD DEVICE,” and U.S. patent application Ser. No. 11/240,788, titled “PROXIMITY DETECTOR IN HANDHELD DEVICE;” U.S. patent application Ser. No. 11/165,958, titled “METHODS AND APPARATUS FOR REMOTELY DETECTING PRESENCE,” filed Jun. 23, 2005; and U.S. Pat. No. 6,583,676, titled “PROXIMITY/TOUCH DETECTOR AND CALIBRATION CIRCUIT,” issued Jun. 24, 2003, all of which are incorporated herein by reference in their entirety.
According to one embodiment, the accelerometer 46 is able to detect a movement including an acceleration or de-acceleration of the wireless device. The accelerometer 46 may generate movement data for multiple dimensions, which may be used to determine a direction of movement of the wireless device. For example, the accelerometer 46 may generate X, Y and Z axis acceleration information when the accelerometer 46 detects that the portable device is moved. In one embodiment, the accelerometer 46 may be implemented as described in U.S. Pat. No. 6,520,013, which is incorporated herein by reference in its entirety. Alternatively, the accelerometer 46 may be a KGF01 accelerometer from Kionix or an ADXL311 accelerometer from Analog Devices or other accelerometers which are known in the art.
In addition, a processing device (not shown) is coupled to the accelerometer(s) 46. The processing device may be used to calculate a direction of movement, also referred to as a movement vector of the wireless device 30. The movement vector may be determined according to one or more predetermined formulas based on the movement data (e.g., movement in X, Y and Z) provided by accelerometer 46. The processing device may be integrated with the accelerometer 46 or integrated with other components, such as, for example, a chipset of a microprocessor, of the portable device.
The accelerometer 46 may continuously or periodically monitor the movement of the portable device. As a result, an orientation of the portable device prior to the movement and after the movement may be determined based on the movement data provided by the accelerometer attached to the portable device.
Additional information about accelerometers can be found in co-pending U.S. patent application Ser. No. 10/986,730, filed Nov. 12, 2004, which is hereby incorporated herein by reference in its entirety.
The data acquired from the proximity sensor 44 and the accelerometer 46 can be combined together, or used alone, to gather information about the user's activities. The data from the proximity sensor 44, the accelerometer 46 or both can be used, for example, to activate/deactivate a display backlight, initiate commands, make selections, control scrolling or other movement in a display, control input device settings, or to make other changes to one or more settings of the device.
In one embodiment, the display/input device 54 may include a multi-point touch input screen in addition to being a display, such as an LCD. In one embodiment, the multi-point touch screen is a capacitive sensing medium configured to detect multiple touches (e.g., blobs on the display from a user's face or multiple fingers concurrently touching or nearly touching the display) or near touches (e.g., blobs on the display) that occur at the same time and at distinct locations in the plane of the touch panel and to produce distinct signals representative of the location of the touches on the plane of the touch panel for each of the multiple touches. Additional information about multi-point input touch screens can be found in co-pending U.S. patent application Ser. No. 10/840,862, filed May 6, 2004 (see published U.S. patent application 20060097991), which is incorporated herein by reference in its entirety. A multi-point input touch screen may also be referred to as a multi-touch input panel.
A processing device (not shown) may be coupled to the display/input device 54. The processing device may be used to calculate touches on the touch panel. The display/input device 54 can use the detected touch (e.g., blob or blobs from a user's face) data to, for example, identify the location of certain objects and to also identify the type of object touching (or nearly touching) the display/input device 54.
The data acquired from the proximity sensor 62 and the display/input device 54 can be combined to gather information about the user's activities as described herein. The data from the proximity sensor 62 and the display/input device 54 can be used to change one or more settings of the portable device 50, such as, for example, change an illumination setting of the display/input device 54,
In one embodiment, as shown in
In at least certain embodiments, the portable device 70 may contain components which provide one or more of the functions of a wireless communication device such as a cellular telephone, a media player, an entertainment system, a PDA, or other types of devices described herein. In one implementation of an embodiment, the portable device 70 may be a cellular telephone integrated with a media player which plays MP3 files, such as MP3 music files.
Each of the devices shown in
Wireless device 100 may include an antenna system 101. Wireless device 100 may also include a digital and/or analog radio frequency (RF) transceiver 102, coupled to the antenna system 101, to transmit and/or receive voice, digital data and/or media signals through antenna system 101.
Wireless device 100 may also include a digital processing system 103 to control the digital RF transceiver and to manage the voice, digital data and/or media signals. Digital processing system 103 may be a general purpose processing device, such as a microprocessor or controller for example. Digital processing system 103 may also be a special purpose processing device, such as an ASIC (application specific integrated circuit), FPGA (field-programmable gate array) or DSP (digital signal processor). Digital processing system 103 may also include other devices, as are known in the art, to interface with other components of wireless device 100. For example, digital processing system 103 may include analog-to-digital and digital-to-analog converters to interface with other components of wireless device 100. Digital processing system 103 may include a media processing system 109, which may also include a general purpose or special purpose processing device to manage media, such as files of audio data.
Wireless device 100 may also include a storage device 104, coupled to the digital processing system, to store data and/or operating programs for the wireless device 100. Storage device 104 may be, for example, any type of solid-state or magnetic memory device.
Wireless device 100 may also include one or more input devices 105, coupled to the digital processing system 103, to accept user inputs (e.g., telephone numbers, names, addresses, media selections, etc.) Input device 105 may be, for example, one or more of a keypad, a touchpad, a touch screen, a pointing device in combination with a display device or similar input device.
Wireless device 100 may also include at least one display device 106, coupled to the digital processing system 103, to display information such as messages, telephone call information, contact information, pictures, movies and/or titles or other indicators of media being selected via the input device 105. Display device 106 may be, for example, an LCD display device. In one embodiment, display device 106 and input device 105 may be integrated together in the same device (e.g., a touch screen LCD such as a multi-touch input panel which is integrated with a display device, such as an LCD display device). Examples of a touch input panel and a display integrated together are shown in U.S. published application No. 20060097991. The display device 106 may include a backlight 106a to illuminate the display device 106 under certain circumstances. It will be appreciated that the wireless device 100 may include multiple displays.
Wireless device 100 may also include a battery 107 to supply operating power to components of the system including digital RF transceiver 102, digital processing system 103, storage device 104, input device 105, microphone 105A, audio transducer 108, media processing system 109, sensor(s) 110, and display device 106. Battery 107 may be, for example, a rechargeable or non-rechargeable lithium or nickel metal hydride battery.
Wireless device 100 may also include audio transducers 108, which may include one or more speakers, and at least one microphone 105A.
Wireless device 100 may also include one or more sensors 110 coupled to the digital processing system 103. The sensor(s) 110 may include, for example, one or more of a proximity sensor, accelerometer, touch input panel, ambient light sensor, ambient noise sensor, temperature sensor, gyroscope, a hinge detector, a position determination device, an orientation determination device, a motion sensor, a sound sensor, a radio frequency electromagnetic wave sensor, and other types of sensors and combinations thereof. Based on the data acquired by the sensor(s) 110, various responses may be performed automatically by the digital processing system, such as, for example, activating or deactivating the backlight 106a, changing a setting of the input device 105 (e.g. switching between processing or not processing, as an intentional user input, any input data from an input device), and other responses and combinations thereof.
In one embodiment, digital RF transceiver 102, digital processing system 103 and/or storage device 104 may include one or more integrated circuits disposed on a printed circuit board (PCB).
During operation, the light from the emitter 122 hits an object 128 and scatters when the object is present above the window 126. The light from the emitter may be emitted in square wave pulses which have a known frequency, thereby allowing the detector 124 to distinguish between ambient light and light from emitter 122 which is reflected by an object, such as the user's head or ear or a material in a user's pocket, back to the detector 124. At least a portion of the scattered light is reflected towards the detector 124. The increase in light intensity is detected by the detector 124, and this is interpreted by a processing system (not shown in
In one embodiment, the emitter 122 and detector 124 are disposed within the housing of a portable device, as described above with reference to
In
It will be appreciated that at least some of the sensors which are used with embodiments of the inventions may determine or provide data which represents an analog value. In other words, the data represents a value which can be any one of a set of possible values which can vary continuously or substantially continuously, rather than being discrete values which have quantum, discrete jumps from one value to the next value. Further, the value represented by the data may not be predetermined. For example, in the case of a distance measured by a proximity sensor, the distance is not predetermined, unlike values of keys on a keypad which represent a predetermined value. For example, a proximity sensor may determine or provide data that represents a distance which can vary continuously or nearly continuously in an analog fashion; in the case of such a proximity sensor, the distance may correspond to the intensity of reflected light which originated from the emitter of the proximity sensor. A temperature sensor may determine or provide data that represents a temperature, which is an analog value. A light sensor, such as an ambient light sensor, may determine or provide data that represents a light intensity which is an analog value. A motion sensor, such as an accelerometer, may determine or provide data which represents a measurement of motion (e.g. velocity or acceleration or both). A gyroscope may determine or provide data which represents a measurement of orientation (e.g. amount of pitch or yaw or roll). A sound sensor may determine or provide data which represents a measurement of sound intensity. For other types of sensors, the data determined or provided by the sensor may represent an analog value.
Exemplary inputs of
Exemplary actions of
AI logic of
In certain embodiments, the AI process may perform traditional methods of pattern recognition on the sensor data. For example, the rate of change of the distance between the device and the user's ear may have a pattern (e.g. revealing a deceleration as the user moves the device closer to their ear), and this pattern in the rate of change of distance may be detected by a pattern matching algorithm. The phrase “artificial intelligence” is used throughout to mean that a conclusion (whether explicit or implicit) can be drawn from data available from one or more sensors about a mode of usage by the user of the device. This conclusion may or may not be expressed in the device (e.g., “the user is talking on the phone”) but it will be mapped to specific actions or settings for the device that would be appropriate if the user was using the device in that way. For example, a telephone may be pre-programmed such that whenever it detects (1) a voice being spoken into the microphone, (2) that the phone is connected to a network, and (3) the proximity sensor is active, then the screen backlight will be dimmed. Such pre-programming may involve simple logic (e.g. simple combinatorial logic), but would nonetheless be within the scope of artificial intelligence as used herein. While learning, statistical analysis, iteration, and other complex aspects of AI can be used with the present invention, they are not required for the basic artificial intelligence contemplated. Likewise, the word “analyze” does not imply sophisticated statistical or other analysis, but may involve observation of only a single threshold or datum.
The AI processing, in at least certain embodiments, may be performed by a processor or processing system, such as digital processing system 103, which is coupled to the one or more sensors that provide the data which form the inputs to the AI process. It will be appreciated that an AI process may be part of one or more of the methods shown in
In at least certain embodiments, the device, which operates according to any of those methods, may have at least one input device (e.g. a keypad or keyboard or touch input panel) which is designed to receive intentional user inputs (e.g. which specify a specific user entry) in addition to one or more sensors which are distinct and separate from the at least one input device and which sensors are not designed to receive intentional user inputs. In fact, a user may not even be aware of the presence of the one or more sensors on the device.
Additional information about user activities and/or gestures that can be monitored in accordance with embodiments of the present invention are disclosed in U.S. patent application Ser. No. 10/903,964, titled “GESTURES FOR TOUCH SENSITIVE INPUT DEVICES,” filed Jul. 30, 2004, U.S. patent application Ser. No. 11/038,590, titled “MODE-BASED GRAPHICAL USER INTERFACES FOR TOUCH SENSITIVE INPUT DEVICES,” filed Jan. 18, 2005, all of which are incorporated herein by reference in their entirety.
The method 200 may be performed by any one of the devices shown in
The method of
A mode of the device may be used in order to determine whether to or how to adjust a setting of the device. The mode of the device may include any one of a variety of modes or conditions, such as speakerphone mode or non-speakerphone mode, battery powered mode or not battery powered mode, call waiting mode or not call waiting mode, an alert mode in which the device may make a sound, such as the sound of an alarm, etc. The data relating to user activity (e.g. data from one or more sensors, such as a proximity sensor and/or a touch input panel, which is capable of detecting blobs from a face) is analyzed relative to the mode of the device and the analysis attempts to determine whether to adjust a setting of the device. One or more device settings may be adjusted based on the sensed user activity and the device mode. For example, the device may automatically switch from speakerphone mode to non-speakerphone mode when proximity data, and optionally other data (e.g. data from a motion sensor and an ambient light sensor) indicate the user has placed the device, which in this case may be a telephone, next to the user's ear. In this example, the device has automatically switched from speakerphone mode to non-speakerphone mode without any intentional input from the user which indicates that the switch should occur. Another method involves adjusting an alert or alarm volume depending on whether or not the device is near to the user's ear. In this example, if the data relating to user activity indicates that the device is adjacent to the user's ear and if the mode of the device is set such that alarms or alerts will cause the device to make a sound, then the device will automatically change the volume level for an alert or an alarm from a first level to a second level which is not as loud as the first level.
It will be appreciated that a method which is similar to the method shown in
The phrase “proximity sensor” is used throughout to mean a sensor, such as a capacitive, temperature, inductive, infrared or other variety of sensor, which is capable of detecting whether an object is present within a certain distance of the sensor. A primary object of this detecting may be the head of the user (or any other object that would present viewing of the display screen).
Any of the embodiments of the inventions may include one or more user interface controls which allow a user to override a result caused by one or more sensors. For example, a control, such as a button, may be pressed by the user to cause the display to return to full power after a proximity sensor has caused the display to enter a reduced power consumption state. In another example, the user interface control may be a sensor (or group of sensors), such as an accelerometer, which detects a user interaction with the device (e.g. shaking the device), and the user interaction has been set up to cause an overriding of a state caused by one or more sensors.
Certain embodiments of the inventions may employ one or more light sensors which provide data relating to light, which data is analyzed to determine whether or not to adjust one or more settings of a device, such as wireless device 100. Ambient light level data may be provided by an ambient light sensor which indicates the level of light intensity surrounding that sensor. Ambient light differential data may be obtained from two or more ambient light sensors which are disposed at different positions on the device. For example, one ambient light sensor may be on one side of the device, and another ambient light sensor may be on another side of the device. A different in the light intensity levels may be determined by comparing the data from these two ambient light sensors on two different sides or surfaces of the device. There are a variety of possible uses of a light sensor. A light sensor may be used with a proximity sensor to determine when a device is placed in a pocket to cause the device to be set in vibrate mode only or vibrate mode with audible ringing. In another example, in response to a light sensor determining that the ambient light is very low, and optionally in response to a user having set the device to visibly light up to show an incoming call when the ambient light is very low, the device may automatically be put in a “light ring” mode when it is dark so that instead of an audible ring from the device, the display flashes visibly (e.g. by repeatedly turning on and off the backlight) to indicate an incoming call. Another exemplary use of a light sensor involves using it as an alarm indicating that a dark room (or environment) has become brighter (e.g. the sun has risen or a door to a darkened room is opened to let light into the room). A light sensor may also be used to cause a device to automatically act as a source of light (e.g. as a flashlight, in effect) upon sensing a low ambient light level.
In the foregoing specification, the invention has been described with reference to specific exemplary embodiments thereof. It will be evident that various modifications may be made thereto without departing from the broader spirit and scope of the invention as set forth in the following claims. The specification and drawings are, accordingly, to be regarded in an illustrative sense rather than a restrictive sense.
This application is a continuation of U.S. application Ser. No. 15/207,260, filed Jul. 11, 2016, which is a continuation of U.S. application Ser. No. 14/137,837, filed Dec. 20, 2013, which is a continuation of U.S. application Ser. No. 12/613,439, filed Nov. 5, 2009, which is a divisional of U.S. application Ser. No. 11/586,862 filed Oct. 24, 2006, now U.S. Pat. No. 7,633,076, which is a continuation-in-part of U.S. application Ser. No. 11/241,839, filed Sep. 30, 2005, now U.S. Pat. No. 7,653,883, and U.S. application Ser. No. 11/240,788, filed Sep. 30, 2005, now U.S. Pat. No. 8,381,135, which are incorporated herein by reference in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
3704345 | Coker et al. | Nov 1972 | A |
3828132 | Flanagan et al. | Aug 1974 | A |
3979557 | Schulman et al. | Sep 1976 | A |
4278838 | Antonov | Jul 1981 | A |
4282405 | Taguchi | Aug 1981 | A |
4310721 | Manley et al. | Jan 1982 | A |
4348553 | Baker et al. | Sep 1982 | A |
4653021 | Takagi | Mar 1987 | A |
4688195 | Thompson et al. | Aug 1987 | A |
4692941 | Jacks et al. | Sep 1987 | A |
4718094 | Bahl et al. | Jan 1988 | A |
4724542 | Williford | Feb 1988 | A |
4726065 | Froessl | Feb 1988 | A |
4727354 | Lindsay | Feb 1988 | A |
4776016 | Hansen | Oct 1988 | A |
4783807 | Marley | Nov 1988 | A |
4811243 | Racine | Mar 1989 | A |
4819271 | Bahl et al. | Apr 1989 | A |
4827520 | Zeinstra | May 1989 | A |
4829576 | Porter | May 1989 | A |
4833712 | Bahl et al. | May 1989 | A |
4839853 | Deerwester et al. | Jun 1989 | A |
4852168 | Sprague | Jul 1989 | A |
4862504 | Nomura | Aug 1989 | A |
4878230 | Murakami et al. | Oct 1989 | A |
4903305 | Gillick et al. | Feb 1990 | A |
4905163 | Garber et al. | Feb 1990 | A |
4914586 | Swinehart et al. | Apr 1990 | A |
4944013 | Gouvianakis et al. | Jul 1990 | A |
4965763 | Zamora | Oct 1990 | A |
4974191 | Amirghodsi et al. | Nov 1990 | A |
4977598 | Doddington et al. | Dec 1990 | A |
4992972 | Brooks et al. | Feb 1991 | A |
5010574 | Wang | Apr 1991 | A |
5020112 | Chou | May 1991 | A |
5021971 | Lindsay | Jun 1991 | A |
5022081 | Hirose et al. | Jun 1991 | A |
5027406 | Roberts et al. | Jun 1991 | A |
5031217 | Nishimura | Jul 1991 | A |
5032989 | Tornetta | Jul 1991 | A |
5040218 | Vitale et al. | Aug 1991 | A |
5072452 | Brown et al. | Dec 1991 | A |
5091945 | Kleijn | Feb 1992 | A |
5095945 | Jensen | Mar 1992 | A |
5103085 | Zimmerman | Apr 1992 | A |
5127053 | Koch | Jun 1992 | A |
5127055 | Larkey | Jun 1992 | A |
5128672 | Kaehler | Jul 1992 | A |
5133011 | McKiel, Jr. | Jul 1992 | A |
5142584 | Ozawa | Aug 1992 | A |
5164900 | Bernath | Nov 1992 | A |
5165007 | Bahl et al. | Nov 1992 | A |
5179652 | Rozmanith et al. | Jan 1993 | A |
5194950 | Murakami et al. | Mar 1993 | A |
5199077 | Wilcox et al. | Mar 1993 | A |
5202952 | Gillick et al. | Apr 1993 | A |
5208862 | Ozawa | May 1993 | A |
5216747 | Hardwick et al. | Jun 1993 | A |
5220639 | Lee | Jun 1993 | A |
5220657 | Bly et al. | Jun 1993 | A |
5222146 | Bahl et al. | Jun 1993 | A |
5230036 | Akamine et al. | Jul 1993 | A |
5231381 | Duwaer | Jul 1993 | A |
5235680 | Bijnagte | Aug 1993 | A |
5267345 | Brown et al. | Nov 1993 | A |
5268990 | Cohen et al. | Dec 1993 | A |
5270818 | Ottenstein | Dec 1993 | A |
5282265 | Rohra et al. | Jan 1994 | A |
RE34562 | Murakami et al. | Mar 1994 | E |
5291286 | Murakami et al. | Mar 1994 | A |
5293448 | Honda | Mar 1994 | A |
5293452 | Picone et al. | Mar 1994 | A |
5297170 | Eyuboglu et al. | Mar 1994 | A |
5301109 | Landauer et al. | Apr 1994 | A |
5303406 | Hansen et al. | Apr 1994 | A |
5317507 | Gallant | May 1994 | A |
5317647 | Pagallo | May 1994 | A |
5325297 | Bird et al. | Jun 1994 | A |
5325298 | Gallant | Jun 1994 | A |
5327498 | Hamon | Jul 1994 | A |
5333236 | Bahl et al. | Jul 1994 | A |
5333275 | Wheatley et al. | Jul 1994 | A |
5345536 | Hoshimi et al. | Sep 1994 | A |
5349645 | Zhao | Sep 1994 | A |
5353377 | Kuroda et al. | Oct 1994 | A |
5377301 | Rosenberg et al. | Dec 1994 | A |
5384892 | Strong | Jan 1995 | A |
5384893 | Hutchins | Jan 1995 | A |
5386494 | White | Jan 1995 | A |
5386556 | Hedin et al. | Jan 1995 | A |
5390279 | Strong | Feb 1995 | A |
5396625 | Parkes | Mar 1995 | A |
5400434 | Pearson | Mar 1995 | A |
5406305 | Shimomura et al. | Apr 1995 | A |
5424947 | Nagao et al. | Jun 1995 | A |
5434777 | Luciw | Jul 1995 | A |
5455888 | Iyengar et al. | Oct 1995 | A |
5469529 | Bimbot et al. | Nov 1995 | A |
5475587 | Anick et al. | Dec 1995 | A |
5479488 | Lennig et al. | Dec 1995 | A |
5483261 | Yasutake | Jan 1996 | A |
5488204 | Mead et al. | Jan 1996 | A |
5491772 | Hardwick et al. | Feb 1996 | A |
5502790 | Yi | Mar 1996 | A |
5502791 | Nishimura et al. | Mar 1996 | A |
5515475 | Gupta et al. | May 1996 | A |
5528266 | Arbeitman et al. | Jun 1996 | A |
5536902 | Serra et al. | Jul 1996 | A |
5574823 | Hassanein et al. | Nov 1996 | A |
5577241 | Spencer | Nov 1996 | A |
5579436 | Chou et al. | Nov 1996 | A |
5581655 | Cohen et al. | Dec 1996 | A |
5596676 | Swaminathan et al. | Jan 1997 | A |
5608624 | Luciw | Mar 1997 | A |
5613036 | Strong | Mar 1997 | A |
5617507 | Lee et al. | Apr 1997 | A |
5621859 | Schwartz et al. | Apr 1997 | A |
5642464 | Yue et al. | Jun 1997 | A |
5642519 | Martin | Jun 1997 | A |
5664055 | Kroon | Sep 1997 | A |
5675819 | Schuetze | Oct 1997 | A |
5682539 | Conrad et al. | Oct 1997 | A |
5684294 | Kouhi | Nov 1997 | A |
5687077 | Gough, Jr. | Nov 1997 | A |
5712957 | Waibel et al. | Jan 1998 | A |
5727950 | Cook et al. | Mar 1998 | A |
5729694 | Holzrichter et al. | Mar 1998 | A |
5732390 | Katayanagi et al. | Mar 1998 | A |
5734791 | Acero et al. | Mar 1998 | A |
5748974 | Johnson | May 1998 | A |
5786801 | Ichise | Jul 1998 | A |
5790978 | Olive et al. | Aug 1998 | A |
5794050 | Dahlgren et al. | Aug 1998 | A |
5794182 | Manduchi et al. | Aug 1998 | A |
5799276 | Komissarchik et al. | Aug 1998 | A |
5825352 | Bisset et al. | Oct 1998 | A |
5826261 | Spencer | Oct 1998 | A |
5828999 | Bellegarda et al. | Oct 1998 | A |
5835079 | Shieh | Nov 1998 | A |
5835893 | Ushioda | Nov 1998 | A |
5839106 | Bellegarda | Nov 1998 | A |
5860063 | Gorin et al. | Jan 1999 | A |
5864806 | Mokbel et al. | Jan 1999 | A |
5867799 | Lang et al. | Feb 1999 | A |
5873056 | Liddy et al. | Feb 1999 | A |
5880411 | Gillespie et al. | Mar 1999 | A |
5884156 | Gordon | Mar 1999 | A |
5894298 | Hoeksma | Apr 1999 | A |
5895466 | Goldberg et al. | Apr 1999 | A |
5899972 | Miyazawa et al. | May 1999 | A |
5913193 | Huang et al. | Jun 1999 | A |
5915249 | Spencer | Jun 1999 | A |
5943670 | Prager | Aug 1999 | A |
5952992 | Helms | Sep 1999 | A |
5987404 | Della Pietra et al. | Nov 1999 | A |
6016471 | Kuhn et al. | Jan 2000 | A |
6029132 | Kuhn et al. | Feb 2000 | A |
6038533 | Buchsbaum et al. | Mar 2000 | A |
6052656 | Suda et al. | Apr 2000 | A |
6064960 | Bellegarda et al. | May 2000 | A |
6081750 | Hoffberg et al. | Jun 2000 | A |
6088731 | Kiraly et al. | Jul 2000 | A |
6108028 | Skarbo et al. | Aug 2000 | A |
6108627 | Sabourin | Aug 2000 | A |
6122616 | Henton | Sep 2000 | A |
6144938 | Surace et al. | Nov 2000 | A |
6173261 | Arai et al. | Jan 2001 | B1 |
6188391 | Seely et al. | Feb 2001 | B1 |
6188999 | Moody | Feb 2001 | B1 |
6195641 | Loring et al. | Feb 2001 | B1 |
6208330 | Hasegawa et al. | Mar 2001 | B1 |
6208854 | Roberts et al. | Mar 2001 | B1 |
6208971 | Bellegarda et al. | Mar 2001 | B1 |
6233559 | Balakrishnan | May 2001 | B1 |
6246862 | Grivas et al. | Jun 2001 | B1 |
6246981 | Papineni et al. | Jun 2001 | B1 |
6266637 | Donovan et al. | Jul 2001 | B1 |
6285786 | Seni et al. | Sep 2001 | B1 |
6289453 | Walker et al. | Sep 2001 | B1 |
6308149 | Gaussier et al. | Oct 2001 | B1 |
6310610 | Beaton et al. | Oct 2001 | B1 |
6317594 | Gossman et al. | Nov 2001 | B1 |
6317707 | Bangalore et al. | Nov 2001 | B1 |
6317831 | King | Nov 2001 | B1 |
6321092 | Fitch et al. | Nov 2001 | B1 |
6323846 | Westerman et al. | Nov 2001 | B1 |
6334103 | Surace et al. | Dec 2001 | B1 |
6356854 | Schubert et al. | Mar 2002 | B1 |
6366883 | Campbell et al. | Apr 2002 | B1 |
6366884 | Bellegarda et al. | Apr 2002 | B1 |
6373612 | Hoffman et al. | Apr 2002 | B1 |
6421672 | McAllister et al. | Jul 2002 | B1 |
6434524 | Weber | Aug 2002 | B1 |
6446076 | Burkey et al. | Sep 2002 | B1 |
6453292 | Ramaswamy et al. | Sep 2002 | B2 |
6466654 | Cooper et al. | Oct 2002 | B1 |
6477374 | Shaffer et al. | Nov 2002 | B1 |
6477488 | Bellegarda | Nov 2002 | B1 |
6487534 | Thelen et al. | Nov 2002 | B1 |
6499013 | Weber | Dec 2002 | B1 |
6501937 | Ho et al. | Dec 2002 | B1 |
6505158 | Conkie | Jan 2003 | B1 |
6513063 | Julia et al. | Jan 2003 | B1 |
6520013 | Wehrenberg | Feb 2003 | B1 |
6522697 | Spickermann | Feb 2003 | B1 |
6523061 | Halverson et al. | Feb 2003 | B1 |
6526395 | Morris | Feb 2003 | B1 |
6532444 | Weber | Mar 2003 | B1 |
6532446 | King | Mar 2003 | B1 |
6553344 | Bellegarda et al. | Apr 2003 | B2 |
6583676 | Krah et al. | Jun 2003 | B2 |
6598039 | Livowsky | Jul 2003 | B1 |
6601012 | Horvitz et al. | Jul 2003 | B1 |
6601026 | Appelt et al. | Jul 2003 | B2 |
6604059 | Strubbe et al. | Aug 2003 | B2 |
6615172 | Bennett et al. | Sep 2003 | B1 |
6615175 | Gazdzinski | Sep 2003 | B1 |
6631346 | Karaorman et al. | Oct 2003 | B1 |
6633846 | Bennett et al. | Oct 2003 | B1 |
6647260 | Dusse et al. | Nov 2003 | B2 |
6650735 | Burton et al. | Nov 2003 | B2 |
6654740 | Tokuda et al. | Nov 2003 | B2 |
6664744 | Dietz | Dec 2003 | B2 |
6665639 | Mozer et al. | Dec 2003 | B2 |
6665640 | Bennett et al. | Dec 2003 | B1 |
6665641 | Coorman et al. | Dec 2003 | B1 |
6684187 | Conkie | Jan 2004 | B1 |
6690387 | Zimmerman et al. | Feb 2004 | B2 |
6691111 | Lazaridis et al. | Feb 2004 | B2 |
6691151 | Cheyer et al. | Feb 2004 | B1 |
6697780 | Beutnagel et al. | Feb 2004 | B1 |
6735632 | Kiraly et al. | May 2004 | B1 |
6742021 | Halverson et al. | May 2004 | B1 |
6757362 | Cooper et al. | Jun 2004 | B1 |
6757718 | Halverson et al. | Jun 2004 | B1 |
6778951 | Contractor | Aug 2004 | B1 |
6778952 | Bellegarda | Aug 2004 | B2 |
6778962 | Kasai et al. | Aug 2004 | B1 |
6792082 | Levine | Sep 2004 | B1 |
6803920 | Gossett et al. | Oct 2004 | B2 |
6807574 | Partovi et al. | Oct 2004 | B1 |
6810379 | Vermeulen et al. | Oct 2004 | B1 |
6812466 | O″Connor et al. | Nov 2004 | B2 |
6813491 | McKinney | Nov 2004 | B1 |
6822635 | Shahoian et al. | Nov 2004 | B2 |
6832194 | Mozer et al. | Dec 2004 | B1 |
6842767 | Partovi et al. | Jan 2005 | B1 |
6847966 | Sommer et al. | Jan 2005 | B1 |
6851115 | Cheyer et al. | Feb 2005 | B1 |
6856259 | Sharp | Feb 2005 | B1 |
6859931 | Cheyer et al. | Feb 2005 | B1 |
6895380 | Sepe, Jr. | May 2005 | B2 |
6895558 | Loveland | May 2005 | B1 |
6912499 | Sabourin et al. | Jun 2005 | B1 |
6928614 | Everhart | Aug 2005 | B1 |
6937975 | Elworthy | Aug 2005 | B1 |
6937986 | Denenberg et al. | Aug 2005 | B2 |
6947017 | Gettemy | Sep 2005 | B1 |
6947571 | Rhoads et al. | Sep 2005 | B1 |
6956564 | Williams | Oct 2005 | B1 |
6964023 | Maes et al. | Nov 2005 | B2 |
6980949 | Ford | Dec 2005 | B2 |
6980955 | Okutani et al. | Dec 2005 | B2 |
6985865 | Packingham et al. | Jan 2006 | B1 |
6988071 | Gazdzinski | Jan 2006 | B1 |
6996531 | Korall et al. | Feb 2006 | B2 |
6999927 | Mozer et al. | Feb 2006 | B2 |
7015894 | Morohoshi | Mar 2006 | B2 |
7016705 | Bahl et al. | Mar 2006 | B2 |
7019622 | Orr et al. | Mar 2006 | B2 |
7020685 | Chen et al. | Mar 2006 | B1 |
7027974 | Busch et al. | Apr 2006 | B1 |
7036128 | Julia et al. | Apr 2006 | B1 |
7050977 | Bennett | May 2006 | B1 |
7058569 | Coorman et al. | Jun 2006 | B2 |
7062428 | Hogenhout et al. | Jun 2006 | B2 |
7069560 | Cheyer et al. | Jun 2006 | B1 |
7092887 | Mozer et al. | Aug 2006 | B2 |
7092928 | Elad et al. | Aug 2006 | B1 |
7093693 | Gazdzinski | Aug 2006 | B1 |
7117021 | Shearer et al. | Oct 2006 | B2 |
7117380 | Kangas | Oct 2006 | B2 |
7127046 | Smith et al. | Oct 2006 | B1 |
7136710 | Hoffberg et al. | Nov 2006 | B1 |
7137126 | Coffman et al. | Nov 2006 | B1 |
7139714 | Bennett et al. | Nov 2006 | B2 |
7139722 | Perrella et al. | Nov 2006 | B2 |
7171221 | Amin et al. | Jan 2007 | B1 |
7177664 | Weinzweig et al. | Feb 2007 | B2 |
7177798 | Hsu et al. | Feb 2007 | B2 |
7184064 | Zimmerman et al. | Feb 2007 | B2 |
7197460 | Gupta et al. | Mar 2007 | B1 |
7200559 | Wang | Apr 2007 | B2 |
7203646 | Bennett | Apr 2007 | B2 |
7209719 | Liebenow | Apr 2007 | B2 |
7216073 | Lavi et al. | May 2007 | B2 |
7216080 | Tsiao et al. | May 2007 | B2 |
7225125 | Bennett et al. | May 2007 | B2 |
7233790 | Kjellberg et al. | Jun 2007 | B2 |
7233904 | Luisi | Jun 2007 | B2 |
7266496 | Wang et al. | Sep 2007 | B2 |
7277854 | Bennett et al. | Oct 2007 | B2 |
7290039 | Lisitsa et al. | Oct 2007 | B1 |
7299033 | Kjellberg et al. | Nov 2007 | B2 |
7310600 | Garner et al. | Dec 2007 | B1 |
7324947 | Jordan et al. | Jan 2008 | B2 |
7349953 | Lisitsa et al. | Mar 2008 | B2 |
7376556 | Bennett | May 2008 | B2 |
7376645 | Bernard | May 2008 | B2 |
7379874 | Schmid et al. | May 2008 | B2 |
7386449 | Sun et al. | Jun 2008 | B2 |
7392185 | Bennett | Jun 2008 | B2 |
7398209 | Kennewick et al. | Jul 2008 | B2 |
7403938 | Harrison et al. | Jul 2008 | B2 |
7409337 | Potter et al. | Aug 2008 | B1 |
7415100 | Cooper et al. | Aug 2008 | B2 |
7418392 | Mozer et al. | Aug 2008 | B1 |
7426467 | Nashida et al. | Sep 2008 | B2 |
7427024 | Gazdzinski et al. | Sep 2008 | B1 |
7447635 | Konopka et al. | Nov 2008 | B1 |
7454351 | Jeschke et al. | Nov 2008 | B2 |
7467087 | Gillick et al. | Dec 2008 | B1 |
7475010 | Chao | Jan 2009 | B2 |
7483894 | Cao | Jan 2009 | B2 |
7487089 | Mozer | Feb 2009 | B2 |
7496498 | Chu et al. | Feb 2009 | B2 |
7496512 | Zhao et al. | Feb 2009 | B2 |
7502738 | Kennewick et al. | Mar 2009 | B2 |
7508373 | Lin et al. | Mar 2009 | B2 |
7522065 | Falcon | Apr 2009 | B2 |
7522927 | Fitch et al. | Apr 2009 | B2 |
7523108 | Cao | Apr 2009 | B2 |
7526466 | Au | Apr 2009 | B2 |
7529671 | Rockenbeck et al. | May 2009 | B2 |
7529676 | Koyama | May 2009 | B2 |
7539656 | Fratkina et al. | May 2009 | B2 |
7546382 | Healey et al. | Jun 2009 | B2 |
7548895 | Pulsipher | Jun 2009 | B2 |
7555431 | Bennett | Jun 2009 | B2 |
7558730 | Davis et al. | Jul 2009 | B2 |
7571106 | Cao et al. | Aug 2009 | B2 |
7599918 | Shen et al. | Oct 2009 | B2 |
7605693 | Kulas | Oct 2009 | B2 |
7620549 | Di Cristo et al. | Nov 2009 | B2 |
7624007 | Bennett | Nov 2009 | B2 |
7633076 | Huppi et al. | Dec 2009 | B2 |
7634409 | Kennewick et al. | Dec 2009 | B2 |
7636657 | Ju et al. | Dec 2009 | B2 |
7640160 | Di Cristo et al. | Dec 2009 | B2 |
7647225 | Bennett et al. | Jan 2010 | B2 |
7653883 | Hotelling et al. | Jan 2010 | B2 |
7657424 | Bennett | Feb 2010 | B2 |
7663607 | Hotelling et al. | Feb 2010 | B2 |
7672841 | Bennett | Mar 2010 | B2 |
7676026 | Baxter, Jr. | Mar 2010 | B1 |
7684985 | Dominach et al. | Mar 2010 | B2 |
7693715 | Hwang et al. | Apr 2010 | B2 |
7693720 | Kennewick et al. | Apr 2010 | B2 |
7698131 | Bennett | Apr 2010 | B2 |
7702500 | Blaedow | Apr 2010 | B2 |
7702508 | Bennett | Apr 2010 | B2 |
7707027 | Balchandran et al. | Apr 2010 | B2 |
7707032 | Wang et al. | Apr 2010 | B2 |
7707267 | Lisitsa et al. | Apr 2010 | B2 |
7711565 | Gazdzinski | May 2010 | B1 |
7711672 | Au | May 2010 | B2 |
7715790 | Kennedy | May 2010 | B1 |
7716056 | Weng et al. | May 2010 | B2 |
7720674 | Kaiser et al. | May 2010 | B2 |
7720683 | Vermeulen et al. | May 2010 | B1 |
7725307 | Bennett | May 2010 | B2 |
7725318 | Gavalda et al. | May 2010 | B2 |
7725320 | Bennett | May 2010 | B2 |
7725321 | Bennett | May 2010 | B2 |
7729904 | Bennett | Jun 2010 | B2 |
7729916 | Coffman et al. | Jun 2010 | B2 |
7734461 | Kwak et al. | Jun 2010 | B2 |
7752152 | Paek et al. | Jul 2010 | B2 |
7752623 | Crawford, Jr. | Jul 2010 | B1 |
7774204 | Mozer et al. | Aug 2010 | B2 |
7783486 | Rosser et al. | Aug 2010 | B2 |
7801729 | Mozer | Sep 2010 | B2 |
7809570 | Kennewick et al. | Oct 2010 | B2 |
7809610 | Cao | Oct 2010 | B2 |
7818176 | Freeman et al. | Oct 2010 | B2 |
7822608 | Cross, Jr. et al. | Oct 2010 | B2 |
7826945 | Zhang et al. | Nov 2010 | B2 |
7831426 | Bennett | Nov 2010 | B2 |
7840400 | Lavi et al. | Nov 2010 | B2 |
7840447 | Kleinrock et al. | Nov 2010 | B2 |
7873519 | Bennett | Jan 2011 | B2 |
7873654 | Bernard | Jan 2011 | B2 |
7881936 | Longe et al. | Feb 2011 | B2 |
7912702 | Bennett | Mar 2011 | B2 |
7916473 | Jang | Mar 2011 | B2 |
7917367 | Di Cristo et al. | Mar 2011 | B2 |
7917497 | Harrison et al. | Mar 2011 | B2 |
7920678 | Cooper et al. | Apr 2011 | B2 |
7925525 | Chin | Apr 2011 | B2 |
7930168 | Weng et al. | Apr 2011 | B2 |
7949529 | Weider et al. | May 2011 | B2 |
7949534 | Davis et al. | May 2011 | B2 |
7974844 | Sumita | Jul 2011 | B2 |
7974972 | Cao | Jul 2011 | B2 |
7983915 | Knight et al. | Jul 2011 | B2 |
7983917 | Kennewick et al. | Jul 2011 | B2 |
7983997 | Allen et al. | Jul 2011 | B2 |
7987151 | Schott et al. | Jul 2011 | B2 |
8000453 | Cooper et al. | Aug 2011 | B2 |
8005679 | Jordan et al. | Aug 2011 | B2 |
8015006 | Kennewick et al. | Sep 2011 | B2 |
8019390 | Sindhu | Sep 2011 | B2 |
8024195 | Mozer et al. | Sep 2011 | B2 |
8036901 | Mozer | Oct 2011 | B2 |
8041570 | Mirkovic et al. | Oct 2011 | B2 |
8041611 | Kleinrock et al. | Oct 2011 | B2 |
8055708 | Chitsaz et al. | Nov 2011 | B2 |
8065155 | Gazdzinski | Nov 2011 | B1 |
8065156 | Gazdzinski | Nov 2011 | B2 |
8069046 | Kennewick et al. | Nov 2011 | B2 |
8073681 | Baldwin et al. | Dec 2011 | B2 |
8078473 | Gazdzinski | Dec 2011 | B1 |
8082153 | Coffman et al. | Dec 2011 | B2 |
8095364 | Longe et al. | Jan 2012 | B2 |
8099289 | Mozer et al. | Jan 2012 | B2 |
8107401 | John et al. | Jan 2012 | B2 |
8112275 | Kennewick et al. | Feb 2012 | B2 |
8112280 | Lu | Feb 2012 | B2 |
8117037 | Gazdzinski | Feb 2012 | B2 |
8130211 | Abernathy | Mar 2012 | B2 |
8131557 | Davis et al. | Mar 2012 | B2 |
8140335 | Kennewick et al. | Mar 2012 | B2 |
8165886 | Gagnon et al. | Apr 2012 | B1 |
8166019 | Lee et al. | Apr 2012 | B1 |
8190359 | Bourne | May 2012 | B2 |
8195467 | Mozer et al. | Jun 2012 | B2 |
8204238 | Mozer | Jun 2012 | B2 |
8205788 | Gazdzinski et al. | Jun 2012 | B1 |
8219407 | Roy et al. | Jul 2012 | B1 |
8285551 | Gazdzinski | Oct 2012 | B2 |
8285553 | Gazdzinski | Oct 2012 | B2 |
8290778 | Gazdzinski | Oct 2012 | B2 |
8290781 | Gazdzinski | Oct 2012 | B2 |
8296146 | Gazdzinski | Oct 2012 | B2 |
8296153 | Gazdzinski | Oct 2012 | B2 |
8301456 | Gazdzinski | Oct 2012 | B2 |
8311834 | Gazdzinski | Nov 2012 | B1 |
8370158 | Gazdzinski | Feb 2013 | B2 |
8371503 | Gazdzinski | Feb 2013 | B2 |
8381135 | Hotelling et al. | Feb 2013 | B2 |
8447612 | Gazdzinski | May 2013 | B2 |
8479122 | Hotelling et al. | Jul 2013 | B2 |
8614431 | Huppi | Dec 2013 | B2 |
9389729 | Huppi et al. | Jul 2016 | B2 |
9619079 | Huppi et al. | Apr 2017 | B2 |
9740268 | Parivar et al. | Aug 2017 | B2 |
20010031633 | Tuomela et al. | Oct 2001 | A1 |
20010031645 | Jarrett | Oct 2001 | A1 |
20020018050 | Turner | Feb 2002 | A1 |
20020019249 | Kashu et al. | Feb 2002 | A1 |
20020032564 | Ensani et al. | Mar 2002 | A1 |
20020046025 | Hain | Apr 2002 | A1 |
20020065099 | Bjorndahl | May 2002 | A1 |
20020069063 | Buchner et al. | Jun 2002 | A1 |
20020077817 | Atal | Jun 2002 | A1 |
20020167488 | Hinckley et al. | Nov 2002 | A1 |
20030022666 | Sato | Jan 2003 | A1 |
20030022671 | Huomo et al. | Jan 2003 | A1 |
20030085870 | Hinckley | May 2003 | A1 |
20030095096 | Robbin et al. | May 2003 | A1 |
20030108300 | Walker, Jr. et al. | Jun 2003 | A1 |
20030197597 | Bahl et al. | Oct 2003 | A1 |
20030224726 | Shearer et al. | Dec 2003 | A1 |
20040012556 | Yong et al. | Jan 2004 | A1 |
20040110472 | Witkowski et al. | Jun 2004 | A1 |
20040135701 | Yasuda et al. | Jul 2004 | A1 |
20040163003 | Dutton et al. | Aug 2004 | A1 |
20040176047 | Trively | Sep 2004 | A1 |
20040180649 | Vogel et al. | Sep 2004 | A1 |
20040203351 | Shearer et al. | Oct 2004 | A1 |
20040213576 | Tan et al. | Oct 2004 | A1 |
20040224638 | Fadell et al. | Nov 2004 | A1 |
20040233153 | Robinson | Nov 2004 | A1 |
20040245438 | Payne et al. | Dec 2004 | A1 |
20050057169 | Noguchi et al. | Mar 2005 | A1 |
20050071332 | Ortega et al. | Mar 2005 | A1 |
20050080625 | Bennett et al. | Apr 2005 | A1 |
20050119897 | Bennett et al. | Jun 2005 | A1 |
20050132416 | Wasilewski | Jun 2005 | A1 |
20050143057 | Shiraga et al. | Jun 2005 | A1 |
20050143972 | Gopalakrishnan et al. | Jun 2005 | A1 |
20050168658 | Woolgar et al. | Aug 2005 | A1 |
20050171662 | Strege et al. | Aug 2005 | A1 |
20050182629 | Coorman et al. | Aug 2005 | A1 |
20050190142 | Ferguson | Sep 2005 | A1 |
20050196733 | Budra et al. | Sep 2005 | A1 |
20050219223 | Kotzin et al. | Oct 2005 | A1 |
20050219228 | Alameh et al. | Oct 2005 | A1 |
20050219394 | Du et al. | Oct 2005 | A1 |
20050221791 | Angelhag | Oct 2005 | A1 |
20050253317 | Rytivaara et al. | Nov 2005 | A1 |
20060007107 | Ferguson | Jan 2006 | A1 |
20060017692 | Wehrenberg et al. | Jan 2006 | A1 |
20060018492 | Chiu et al. | Jan 2006 | A1 |
20060026521 | Hotelling et al. | Feb 2006 | A1 |
20060026535 | Hotelling et al. | Feb 2006 | A1 |
20060052141 | Suzuki | Mar 2006 | A1 |
20060060762 | Chan et al. | Mar 2006 | A1 |
20060087245 | Ng et al. | Apr 2006 | A1 |
20060097991 | Hotelling et al. | May 2006 | A1 |
20060101293 | Chandley et al. | May 2006 | A1 |
20060116175 | Chu | Jun 2006 | A1 |
20060117108 | Salisbury et al. | Jun 2006 | A1 |
20060122834 | Bennett | Jun 2006 | A1 |
20060143007 | Koh et al. | Jun 2006 | A1 |
20060146012 | Arneson et al. | Jul 2006 | A1 |
20060161870 | Hotelling et al. | Jul 2006 | A1 |
20060161871 | Hotelling et al. | Jul 2006 | A1 |
20060164241 | Makela et al. | Jul 2006 | A1 |
20060166702 | Dietz et al. | Jul 2006 | A1 |
20060174201 | Zaner-Godsey et al. | Aug 2006 | A1 |
20060197753 | Hotelling | Sep 2006 | A1 |
20060199536 | Eisenbach | Sep 2006 | A1 |
20060229101 | LaBauve et al. | Oct 2006 | A1 |
20060279548 | Geaghan | Dec 2006 | A1 |
20060290921 | Hotelling et al. | Dec 2006 | A1 |
20060291863 | Chan et al. | Dec 2006 | A1 |
20070003289 | Tan et al. | Jan 2007 | A1 |
20070042714 | Ayed | Feb 2007 | A1 |
20070046629 | Chi-Boon et al. | Mar 2007 | A1 |
20070050191 | Weider et al. | Mar 2007 | A1 |
20070054651 | Farmer et al. | Mar 2007 | A1 |
20070055529 | Kanevsky et al. | Mar 2007 | A1 |
20070057773 | Hsieh et al. | Mar 2007 | A1 |
20070058832 | Hug et al. | Mar 2007 | A1 |
20070075965 | Huppi et al. | Apr 2007 | A1 |
20070085157 | Fadell et al. | Apr 2007 | A1 |
20070088556 | Andrew | Apr 2007 | A1 |
20070099574 | Wang | May 2007 | A1 |
20070100480 | Sinclair et al. | May 2007 | A1 |
20070100790 | Cheyer et al. | May 2007 | A1 |
20070118377 | Badino et al. | May 2007 | A1 |
20070123171 | Slamka et al. | May 2007 | A1 |
20070123287 | Mock et al. | May 2007 | A1 |
20070135091 | Wassingbo | Jun 2007 | A1 |
20070135151 | Dendy | Jun 2007 | A1 |
20070161410 | Huang et al. | Jul 2007 | A1 |
20070174188 | Fish | Jul 2007 | A1 |
20070185917 | Prahlad et al. | Aug 2007 | A1 |
20070225047 | Bakos | Sep 2007 | A1 |
20070233759 | Tomlinson et al. | Oct 2007 | A1 |
20070239903 | Bhardwaj et al. | Oct 2007 | A1 |
20070266185 | Goddi et al. | Nov 2007 | A1 |
20070282595 | Tunning et al. | Dec 2007 | A1 |
20070288779 | Kim | Dec 2007 | A1 |
20070293188 | Houghton et al. | Dec 2007 | A1 |
20080006762 | Fadell et al. | Jan 2008 | A1 |
20080015864 | Ross et al. | Jan 2008 | A1 |
20080021708 | Bennett et al. | Jan 2008 | A1 |
20080031206 | Sharma | Feb 2008 | A1 |
20080034032 | Healey et al. | Feb 2008 | A1 |
20080052063 | Bennett et al. | Feb 2008 | A1 |
20080090617 | Sutardja | Apr 2008 | A1 |
20080102882 | Sutardja | May 2008 | A1 |
20080113618 | De Leon et al. | May 2008 | A1 |
20080120112 | Jordan et al. | May 2008 | A1 |
20080129520 | Lee | Jun 2008 | A1 |
20080140657 | Azvine et al. | Jun 2008 | A1 |
20080158172 | Hotelling et al. | Jul 2008 | A1 |
20080192129 | Walker et al. | Aug 2008 | A1 |
20080204359 | Tsui et al. | Aug 2008 | A1 |
20080221903 | Kanevsky et al. | Sep 2008 | A1 |
20080228496 | Yu et al. | Sep 2008 | A1 |
20080247519 | Abella et al. | Oct 2008 | A1 |
20080249770 | Kim et al. | Oct 2008 | A1 |
20080297487 | Hotelling et al. | Dec 2008 | A1 |
20080300878 | Bennett | Dec 2008 | A1 |
20090006100 | Badger et al. | Jan 2009 | A1 |
20090006343 | Platt et al. | Jan 2009 | A1 |
20090019448 | Bouge et al. | Jan 2009 | A1 |
20090030800 | Grois | Jan 2009 | A1 |
20090047904 | Preston et al. | Feb 2009 | A1 |
20090048709 | DeLine | Feb 2009 | A1 |
20090058823 | Kocienda | Mar 2009 | A1 |
20090076796 | Daraselia | Mar 2009 | A1 |
20090098865 | Vaghi et al. | Apr 2009 | A1 |
20090100049 | Cao | Apr 2009 | A1 |
20090112677 | Rhett | Apr 2009 | A1 |
20090140863 | Liu et al. | Jun 2009 | A1 |
20090150156 | Kennewick et al. | Jun 2009 | A1 |
20090157401 | Bennett | Jun 2009 | A1 |
20090164441 | Cheyer | Jun 2009 | A1 |
20090171664 | Kennewick et al. | Jul 2009 | A1 |
20090244092 | Hotelling | Oct 2009 | A1 |
20090290718 | Kahn et al. | Nov 2009 | A1 |
20090299745 | Kennewick et al. | Dec 2009 | A1 |
20090299849 | Cao et al. | Dec 2009 | A1 |
20090313473 | Walker et al. | Dec 2009 | A1 |
20090322683 | Tsuji et al. | Dec 2009 | A1 |
20100005081 | Bennett | Jan 2010 | A1 |
20100023320 | Di Cristo et al. | Jan 2010 | A1 |
20100036660 | Bennett | Feb 2010 | A1 |
20100042400 | Block et al. | Feb 2010 | A1 |
20100079508 | Hodge et al. | Apr 2010 | A1 |
20100088020 | Sano et al. | Apr 2010 | A1 |
20100134423 | Brisebois et al. | Jun 2010 | A1 |
20100138680 | Brisebois et al. | Jun 2010 | A1 |
20100145700 | Kennewick et al. | Jun 2010 | A1 |
20100153553 | Sheth et al. | Jun 2010 | A1 |
20100156790 | Su et al. | Jun 2010 | A1 |
20100164887 | Nakamura | Jul 2010 | A1 |
20100204986 | Kennewick et al. | Aug 2010 | A1 |
20100217604 | Baldwin et al. | Aug 2010 | A1 |
20100228540 | Bennett | Sep 2010 | A1 |
20100235341 | Bennett | Sep 2010 | A1 |
20100257160 | Cao | Oct 2010 | A1 |
20100277579 | Cho et al. | Nov 2010 | A1 |
20100280983 | Cho et al. | Nov 2010 | A1 |
20100286985 | Kennewick et al. | Nov 2010 | A1 |
20100299142 | Freeman et al. | Nov 2010 | A1 |
20100312547 | Van Os et al. | Dec 2010 | A1 |
20100318576 | Kim | Dec 2010 | A1 |
20100332235 | David | Dec 2010 | A1 |
20100332348 | Cao | Dec 2010 | A1 |
20110060807 | Martin et al. | Mar 2011 | A1 |
20110082688 | Kim et al. | Apr 2011 | A1 |
20110112827 | Kennewick et al. | May 2011 | A1 |
20110112921 | Kennewick et al. | May 2011 | A1 |
20110119049 | Ylonen | May 2011 | A1 |
20110125540 | Jang et al. | May 2011 | A1 |
20110130958 | Stahl et al. | Jun 2011 | A1 |
20110131036 | DiCristo et al. | Jun 2011 | A1 |
20110131045 | Cristo et al. | Jun 2011 | A1 |
20110144999 | Jang et al. | Jun 2011 | A1 |
20110161076 | Davis et al. | Jun 2011 | A1 |
20110163976 | Barnhoefer et al. | Jul 2011 | A1 |
20110175810 | Markovic et al. | Jul 2011 | A1 |
20110184730 | LeBeau et al. | Jul 2011 | A1 |
20110218855 | Cao et al. | Sep 2011 | A1 |
20110231182 | Weider et al. | Sep 2011 | A1 |
20110231188 | Kennewick et al. | Sep 2011 | A1 |
20110264643 | Cao | Oct 2011 | A1 |
20110279368 | Klein et al. | Nov 2011 | A1 |
20110306426 | Novak et al. | Dec 2011 | A1 |
20120002820 | Leichter | Jan 2012 | A1 |
20120016678 | Gruber et al. | Jan 2012 | A1 |
20120020490 | Leichter | Jan 2012 | A1 |
20120022787 | LeBeau et al. | Jan 2012 | A1 |
20120022857 | Baldwin et al. | Jan 2012 | A1 |
20120022860 | Lloyd et al. | Jan 2012 | A1 |
20120022868 | LeBeau et al. | Jan 2012 | A1 |
20120022869 | Lloyd et al. | Jan 2012 | A1 |
20120022870 | Kristjansson et al. | Jan 2012 | A1 |
20120022874 | Lloyd et al. | Jan 2012 | A1 |
20120022876 | LeBeau et al. | Jan 2012 | A1 |
20120023088 | Cheng et al. | Jan 2012 | A1 |
20120032894 | Parivar et al. | Feb 2012 | A1 |
20120034904 | LeBeau et al. | Feb 2012 | A1 |
20120035908 | LeBeau et al. | Feb 2012 | A1 |
20120035924 | Jitkoff et al. | Feb 2012 | A1 |
20120035931 | LeBeau et al. | Feb 2012 | A1 |
20120035932 | Jitkoff et al. | Feb 2012 | A1 |
20120042343 | Laligand et al. | Feb 2012 | A1 |
20120271676 | Aravamudan et al. | Oct 2012 | A1 |
20120311583 | Gruber et al. | Dec 2012 | A1 |
Number | Date | Country |
---|---|---|
1263385 | Aug 2000 | CN |
1581052 | Feb 2005 | CN |
3837590 | May 1990 | DE |
19841541 | Dec 2007 | DE |
138061 | Apr 1985 | EP |
218859 | Apr 1987 | EP |
262938 | Apr 1988 | EP |
138061 | Jun 1988 | EP |
293259 | Nov 1988 | EP |
299572 | Jan 1989 | EP |
313975 | May 1989 | EP |
314908 | May 1989 | EP |
327408 | Aug 1989 | EP |
389271 | Sep 1990 | EP |
411675 | Feb 1991 | EP |
559349 | Sep 1993 | EP |
570660 | Nov 1993 | EP |
559349 | Jan 1999 | EP |
0992969 | Apr 2000 | EP |
1185058 | Mar 2002 | EP |
1245023 | Oct 2002 | EP |
1335430 | Aug 2003 | EP |
1355223 | Oct 2003 | EP |
1445922 | Aug 2004 | EP |
1452988 | Sep 2004 | EP |
1465462 | Oct 2004 | EP |
1507132 | Feb 2005 | EP |
1507196 | Feb 2005 | EP |
1650938 | Apr 2006 | EP |
1667103 | Jun 2006 | EP |
1696414 | Aug 2006 | EP |
2 081 113 | Jul 2009 | EP |
2 081 113 | Jul 2009 | EP |
2346500 | Aug 2000 | GB |
2418808 | Apr 2006 | GB |
5323277 | Dec 1993 | JP |
6-19965 | Jan 1994 | JP |
9-18566 | Jan 1997 | JP |
11-203045 | Jul 1999 | JP |
2000-13478 | Jan 2000 | JP |
2000-163031 | Jun 2000 | JP |
2000-286924 | Oct 2000 | JP |
2001-111661 | Apr 2001 | JP |
2001-125896 | May 2001 | JP |
2001-244498 | Sep 2001 | JP |
2001-352395 | Dec 2001 | JP |
2002-024212 | Jan 2002 | JP |
2002-57791 | Feb 2002 | JP |
2002-135369 | May 2002 | JP |
2002-342033 | Nov 2002 | JP |
2003-517158 | May 2003 | JP |
2003-204390 | Jul 2003 | JP |
2003-219024 | Jul 2003 | JP |
2003-309644 | Oct 2003 | JP |
2003-345476 | Dec 2003 | JP |
2004-021476 | Jan 2004 | JP |
2004-501586 | Jan 2004 | JP |
2004-159028 | Jun 2004 | JP |
2004-357193 | Dec 2004 | JP |
2005-223629 | Aug 2005 | JP |
2005-260996 | Sep 2005 | JP |
2005-278043 | Oct 2005 | JP |
2006-109004 | Apr 2006 | JP |
2006-115043 | Apr 2006 | JP |
2007-163872 | Jun 2007 | JP |
2009-036999 | Feb 2009 | JP |
10-2005-0113650 | Dec 2005 | KR |
10-0776800 | Nov 2007 | KR |
10-0810500 | Mar 2008 | KR |
10-2008-0109322 | Dec 2008 | KR |
10-2009-0086805 | Aug 2009 | KR |
10-0920267 | Oct 2009 | KR |
10-2011-0113414 | Oct 2011 | KR |
200 919 281 | May 2009 | TW |
2000079766 | Dec 2000 | WO |
2004093045 | Oct 2004 | WO |
2005101176 | Oct 2005 | WO |
2005114369 | Dec 2005 | WO |
2006129967 | Dec 2006 | WO |
WO-2009062176 | May 2009 | WO |
WO-2009062176 | May 2009 | WO |
WO-2009096643 | Aug 2009 | WO |
WO-2010051001 | May 2010 | WO |
2011088053 | Jul 2011 | WO |
WO-2012019153 | Feb 2012 | WO |
Entry |
---|
Acero et al., “Environmental Robustness in Automatic Speech Recognition”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP'90), Apr. 1990, pp. 849-852. |
Acero et al., “Robust Speech Recognition by Normalization of The Acoustic Space”, International Conference on Acoustics, Speech, and Signal Processing, 1991, pp. 893-896. |
Agilent Technologies Inc., “Agilent Unveils Optical Proximity Sensor or Mobile Appliances”, available at <http:/www.embeddedstar.com/press/content/2004/8/embedded16015.html>, Aug. 31, 2004, 2 pages. |
Ahlbom et al., “Modeling Spectral Speech Transitions Using Temporal Decomposition Techniques”, IEEE International Conference of Acoustics, Speech, and Signal Processing (ICASSP'87), vol. 12, Apr. 1987, pp. 13-16. |
Aikawa, et al., “Speech Recognition Using Time-Warping Neural Networks”, Proceedings of the 1991, IEEE Workshop on Neural Networks for Signal Processing, Sep. 30-Oct. 1, 1991, pp. 337-346. |
Alfred App, “Alfred”, available at <http://www.alfredapp.com/>, retrieved on Feb. 8, 2012, 5 pages. |
Ambite et al., “Design and Implementation of the CALO Query Manager”, American Association for Artificial Intelligence, 2006, 8 pages. |
Ambite et al., “Integration of Heterogeneous Knowledge Sources in the CALO Query Manager”, The 4th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE), 2005, 18 pages. |
Anastasakos, et al., “Duration Modeling in Large Vocabulary Speech Recognition”, International Conference on Acoustics, Speech, and Signal Processing, vol. 1, May 9-15, 1995, pp. 628-631. |
Anderson, R. H, “Syntax-Directed Recognition of Hand-Printed Two-Dimensional Mathematics”, In Proceedings of Symposium on Interactive Systems for Experimental Applied Mathematics, Proceedings of the Association for Computing Machinery Inc. Symposium, 1967, pp. 436-459. |
Ansari, et al., “Pitch Modification of Speech using a Low-Sensitivity Inverse Filter Approach”, IEEE Signal Processing Letters, vol. 5, No. 3, Mar. 1998, pp. 60-62. |
Anthony, et al., “Supervised Adaption for Signature Verification System”, IBM Technical Disclosure, Jun. 1, 1978, 3 pages. |
Apple Computer, “Guide Maker User's Guide”, Apple Computer, Inc., Apr. 27, 1994, 8 pages. |
Apple Computer, “Introduction to Apple Guide”, Apple Computer, Inc., Apr. 28, 1994, 20 pages. |
Asanovic, et al., “Experimental Determination of Precision Requirements for Back-Propagation Training of Artificial Neural Networks”, In Proceedings of the 2nd International Conference of Microelectronics for Neural Networks, 1991, www.ICSI.Berkelev.EDU, 1991, 7 pages. |
Atal, et al., “Efficient Coding of LPC Parameters by Temporal Decomposition”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'83), Apr. 1983, pp. 81-84. |
Bahl, et al., “A Maximum Likelihood Approach to Continuous Speech Recognition”, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. PAMI-5, No. 2, Mar. 1983, pp. 179-190. |
Bahl, et al., “A Tree-Based Statistical Language Model for Natural Language Speech Recognition”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 37, No. 7, Jul. 1989, pp. 507-514. |
Bahl, et al., “Acoustic Markov Models Used in the Tangora Speech Recognition System”, In Proceeding of International Conference on Acoustics, Speech, and Signal Processing (ICASSP'88), vol. 1, Apr. 1988, pp. 497-500. |
Bahl, et al., “Large Vocabulary Natural Language Continuous Speech Recognition,”, In Proceedings of 1989 International Conference on Acoustics, Speech, and Signal Processing, vol. 1, May 1989, pp. 465-467. |
Bahl, et al., “Multonic Markov Word Models for Large Vocabulary Continuous Speech Recognition”, IEEE Transactions on Speech and Audio Processing, vol. 1, No. 3, Jul. 1993, pp. 334-344. |
Bahl, et al., “Speech Recognition with Continuous-Parameter Hidden Markov Models”, Proceeding of International Conference on Acoustics, Speech, and Signal Processing (ICASSP'88), vol. 1, Apr. 1988, pp. 332-339. |
Banbrook, M., “Nonlinear Analysis of Speech from a Synthesis Perspective”, A Thesis Submitted for the Degree of Doctor of Philosophy, The University of Edinburgh, Oct. 15, 1996, 35 pages. |
Belaid, et al., “A Syntactic Approach for Handwritten Mathematical Formula Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-6, No. 1, Jan. 1984, pp. 105-111. |
Bellegarda et al., “Experiments Using Data Augmentation for Speaker Adaptation”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP'95), May 9-12, 1995, pp. 692-695. |
Bellegarda et al., “A Latent Semantic Analysis Framework for Large-Span Language Modeling”, 5th European Conference on Speech, Communication and Technology, (EuroSpeech'97), Sep. 22-25, 1997, 4 pages. |
Bellegarda et al., “A Multispan Language Modeling Framework for Large Vocabulary Speech Recognition”, IEEE Transactions on Speech and Audio Processing. vol. 6, No. 5, Sep. 1998, pp. 456-467. |
Bellegarda et al., “A Novel Word Clustering Algorithm Based on Latent Semantic Analysis”, In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, May 7-10, 1996, pp. 172-175. |
Bellegarda et al., “On-Line Handwriting Recognition Using Statistical Mixtures”, Advances in Handwriting and Drawings: A Multidisciplinary Approach, Europia, 6th International IGS Conference on Handwriting and Drawing, Paris-France, Jul. 1993, pp. 99-116. |
Bellegarda et al., “Performance of the IBM Large Vocabulary Continuous Speech Recognition System on the ARPA Wall Street Journal Task”, Signal Processing VII: Theories and Applications, European Association for Signal Processing, 1994, pp. 123-126. |
Bellegarda et al., “The Metamorphic Algorithm: A Speaker Mapping Approach to Data Augmentation”, IEEE Transactions on Speech and Audio Processing, vol. 2, No. 3, Jul. 1994, pp. 413-420. |
Bellegarda, J. R., “Exploiting Both Local and Global Constraints for Multi-Span Statistical Language Modeling”, Proceeding of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing (1CASSP'98), vol. 2, May 1998, pp. 677-680. |
Bellegarda, J. R., “Interaction-Driven Speech Input-A Data-Driven Approach to the Capture of both Local and Global Language Constraints”, available at <http://old.sig.chi.ora/bulletin/1998.2/bellegarda.html>, 1992, 7 pages. |
Bellegarda, J. R., “Large Vocabulary Speech Recognition with Multispan Statistical Language Models”, IEEE Transactions on Speech and Audio Processing, vol. 8, No. 1, Jan. 2000, pp. 76-84. |
Bellegarda, Jerome R., “Exploiting Latent Semantic Information in Statistical Language Modeling”, Proceedings of the IEEE, vol. 88, No. 8, Aug. 2000, pp. 1-18. |
Belvin et al., “Development of the HRL Route Navigation Dialogue System”, Proceedings of the First International Conference on Human Language Technology Research, Paper, 2001, 5 pages. |
Berry et al., “PTIME: Personalized Assistance for Calendaring”, ACM Transactions on Intelligent Systems and Technology, vol. 2, No. 4, Article 40, Jul. 2011, pp. 1-22. |
Black et al., “Automatically Clustering Similar Units for Unit Selection in Speech Synthesis”, Proceedings of Eurospeech, vol. 2, 1997, 4 pages. |
Blair et al., “An Evaluation of Retrieval Effectiveness for a Full-Text Document-Retrieval System”, Communications of the ACM, vol. 28, No. 3, Mar. 1985, pp. 289-299. |
Briner, L. L., “Identifying Keywords in Text Data Processing”, In Zelkowitz, Marvin V., ED, Directions and Challenges, 15th Annual Technical Symposium, Gaithersbury, Maryland, Jun. 17, 1976, pp. 85-90. |
Bulyko et al., “Joint Prosody Prediction and Unit Selection for Concatenative Speech Synthesis”, Electrical Engineering Department, University of Washington, Seattle, 2001, 4 pages. |
Bussey et al., “Service Architecture, Prototype Description and Network Implications of a Personalized Information Grazing Service”, INFOCOM'90, Ninth Annual Joint Conference of the IEEE Computer and Communication Societies, available at <http://slrohall.com/oublications/>, Jun. 1990, pp. 1046-1053. |
Bussler et al., “Web Service Execution Environment (WSMX)”, retrieved from Internet on Sep. 17, 2012, available at <http://www.w3.org/Submission/WSMX>, Jun. 3, 2005, 29 pages. |
Butcher, Mike, “EVI Arrives in Town to go Toe-to-Toe with Siri”, TechCrunch, available at <http://techcrunch .com/20 12/01/23/evi-arrives-in-town-to-go-toe-to-toe-with-siri/> Jan. 23, 2012, pp. 1-2. |
Buzo et al., “Speech Coding Based Upon Vector Quantization”, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. Assp-28, No. 5, Oct. 1980, pp. 562-574. |
Caminero-Gil et al., “Data-Driven Discourse Modeling for Semantic Interpretation”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 1, May 1996, pp. 401-404. |
Cawley G. C., “The Application of Neural Networks to Phonetic Modelling”, PhD Thesis, University of Essex, Mar. 1996, 13 pages. |
Chang et al., “A Segment-based Speech Recognition System for Isolated Mandarin Syllables”, Proceedings TEN CON '93, IEEE Region 10 conference on Computer, Communication, Control and Power Engineering, vol. 3, Oct. 1993, 6 pages. |
Chen, Yi, “Multimedia Siri Finds and Plays Whatever You Ask For”, PSFK Report, Feb. 9, 2012, pp. 1-9. |
Cheyer et al., “Spoken Language and Multimodal Applications for Electronic Realties”, Virtual Reality, vol. 3, 1999, pp. 1-15. |
Cheyer, Adam, “A Perspective on AI & Agent Technologies for SCM”, VerticalNet presentation, 2001, 22 pages. |
Cheyer, Adam, “About Adam Cheyer”, available at <http://www.adam.cheyer.com/about.html>, retrieved on Sep. 17, 2012, pp. 1-2. |
CNET news.com, “Reinventing the Scroll Wheel”, Photo 1, available at <http://news.com.com/2300-1041_3-6107951-1.html?tag=ne.gall.pg>, Aug. 22, 2006, 2 pages. |
CNET news.com, “Reinventing the Scroll Wheel”, Photo 2, available at <http://news.com.com/2300-1041_3-6107951-2.html?tag=ne.gall.pg>, Aug. 22, 2006, 2 pages. |
CNET news.com, “Reinventing the Scroll Wheel”, Photo 3, available at <http://news.com.com/2300-1041_3-6107951-3.html?tag=ne.gall.pg>, Aug. 22, 2006, 2 pages. |
CNET news.com, “Reinventing the Scroll Wheel”, Photo 4, available at <http://news.com.com/2300-1041_3-6107951-4.html?tag=ne.gall.pg>, Aug. 22, 2006, 2 pages. |
CNET news.com, “Reinventing the Scroll Wheel”, Photo 5, available at <http://news.com.com/2300-1041_3-6107951-5.html?tag=ne.gall.pg>, Aug. 22, 2006, 2 pages. |
CNET news.com, “Reinventing the Scroll Wheel”, Photo 6, available at <http://news.com.com/2300-1041_3-6107951-6.html?tag=ne.gall.pg>, Aug. 22, 2006, 2 pages. |
CNET news.com, “Reinventing the Scroll Wheel”, Photo 7, available at <http://news.com.com/2300-1041_3-6107951-7.html?tag=ne.gall.pg>, Aug. 22, 2006, 2 pages. |
CNET news.com, “Reinventing the Scroll Wheel”, Photo 8, available at <http://news.com.com/2300-1041_3-6107951-8.html?tag=ne.gall.pg>, Aug. 22, 2006, 2 pages. |
Conklin, J., “Hypertext: An Introduction and Survey”, COMPUTER Magazine, Sep. 1987, pp. 17-40. |
Connolly et al., “Fast Algorithms for Complex Matrix Multiplication Using Surrogates”, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, No. 6, Jun. 1989, pp. 938-949. |
Cutkosky et al., “PACT: An Experiment in Integrating Concurrent Engineering Systems”, Journal, Computer, vol. 26, No. 1, Jan. 1993, 14 pages. |
Decision to Grant received for European Patent Application No. 07839698.3, mailed on Jul. 31, 2014, 1 page. |
Deerwester et al., “Indexing by Latent Semantic Analysis”, Journal of the American Society for Information Science, vol. 41, No. 6, Sep. 1990, pp. 391-407. |
Deller, Jr. et al., “Discrete-Time Processing of Speech Signals”, Prentice Hall, ISBN: 0-02-328301-7, 1987, 14 pages. |
Digital Equipment Corporation, “Open VMS Software Overview”, Software Manual, Dec. 1995, 159 pages. |
Domingue et al., “Web Service Modeling Ontology (WSMO)-An Ontology for Semantic Web Services”, Position Paper at the W3C Workshop on Frameworks for Semantics in Web Services, Innsbruck, Austria, Jun. 2005, 6 pages. |
Donovan, R. E., “A New Distance Measure for Costing Spectral Discontinuities in Concatenative Speech Synthesisers”, available at <http://citeseerx.ist.osu.edu/viewdoc/summarv?doi=1 0.1.1.21.6398>, 2001, 4 pages. |
Elio et al., “On Abstract Task Models and Conversation Policies”, Proc. Workshop on Specifying and Implementing Conversation Policies, Autonomous Agents'99 Conference, 1999, pp. 1-10. |
Ericsson et al., “Software Illustrating a Unified Approach to Multimodality and Multilinguality in the in-home Domain”, Talk and Look: Tools for Ambient Linguistic Knowledge, Dec. 2006, 127 pages. |
Evi, “Meet Evi: The One Mobile Application that Provides Solutions for your Everyday Problems”, Feb. 2012, 3 pages. |
Extended European Search Report (includes Partial European Search Report and European Search Opinion) received for European Patent Application No. 13169672.6, dated Aug. 14, 2013, 11 pages. |
Feigenbaum et al., “Computer-Assisted Semantic Annotation of Scientific Life Works”, Oct. 15, 2007, 22 pages. |
Final office Action mailed received for U.S. Appl. No. 11/650,014, dated Nov. 15, 2010, 16 pages. |
Final Office Action received for U.S. Appl. No. 11/620,702, dated Nov. 19, 2009, 12 pages. |
Frisse, M. E., “Searching for Information in a Hypertext Medical Handbook”, Communications of the ACM, vol. 31, No. 7, Jul. 1988, 8 pages. |
Gannes, Liz , “Alfred App Gives Personalized Restaurant Recommendations”, allthingsd.com, Jul. 18, 2011, Available at <http://allthingsd.com/20110718/alfred-app-gives-personalized-restaurant-recommendations/>, 3 pages. |
Gautier et al., “Generating Explanations of Device Behavior Using Compositional Modeling and Causal Ordering”, CiteSeerx, 1993, pp. 89-97. |
Gervasio et al., “Active Preference Learning for Personalized Calendar Scheduling Assistancae”, CiteSeerx, Proceedings of IUI'05, Jan. 9-12, 2005, pp. 90-97. |
Glass et al., “Multilingual Spoken-Language Understanding in the Mit Voyager System”, Available online at <http://groups.csail.mit.edu/sis/publications/1995/speechcomm95-voyager.pdf>, Aug. 1995, pp. 1-29. |
Glass, Alyssa, “Explaining Preference Learning”, CiteSeerx, 2006, pp. 1-5. |
Goddeau et al., “A Form-Based Dialogue Manager for Spoken Language Applications”, Available online at <http://phasedance.com/pdflicslp96.pdf>, Oct. 1996, 4 pages. |
Goddeau et al., “Galaxy: A Human-Language Interface to On-Line Travel Information”, International Conference on Spoken Language Processing, Yokohama, 1994, pp. 707-710. |
Goldberg et al., “Using Collaborative Filtering to Weave an Information Tapestry”, Communications of the ACM, vol. 35, No. 12, Dec. 1992, 10 pages. |
Gorin et al., “On Adaptive Acquisition of Language”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP'90), vol. 1, Apr. 1990, 5 pages. |
Gotoh et al., “Document Space Models Using Latent Semantic Analysls”, In Proceedings of Eurospeech, 1997, 4 pages. |
Gray, R. M., “Vector Quantization”, IEEE ASSP Magazine, Apr. 1984, 26 pages. |
Gruber et al., “A Translation Approach to Portable Ontology Specifications”, Knowledge Acquisition, vol. 5, No. 2, Jun. 1993, pp. 199-220. |
Gruber et al., “An Ontology for Engineering Mathematics”, Fourth International Conference on Principles of Knowledge Representation and Reasoning, Available at <http://www-ksl.stanford.edu/knowledge-sharing/papers/engmath.html>, 1994, pp. 1-22. |
Gruber et al., “Generative Design Rationale: Beyond the Record and Replay Paradigm”, Knowledge Systems Laboratory, Technical Report KSL 92-59, Dec. 1991, Updated Feb. 1993, 24 pages. |
Gruber et al., “Machine-generated Explanations of Engineering Models: A Compositional Modeling Approach”, Proceedings of International Joint Conference on Artificial Intelligence, 1993, 7 pages. |
Gruber et al., “NIKE: A National Infrastructure for Knowledge Exchange”, A Whitepaper Advocating and ATP Initiative on Technologies for Lifelong Learning, Oct. 1994, pp. 1-10. |
Gruber et al., “Toward a Knowledge Medium for Collaborative Product Development”, Proceedings of the Second International Conference on Artificial Intelligence in Design, Jun. 22-25, 1992, pp. 1-19. |
Gruber, Thomas R., “(Avoiding) the Travesty of the Commons”, Presentation at NPUC, New Paradigms for User Computing, IBM Almaden Research Center, Jul. 24, 2006, 52 pages. |
Gruber, Thomas R., “2021: Mass Collaboration and the Really New Economy”, TNTY Futures, vol. 1, No. 6, Available at <http://tomgruber.org/writing/tnty2001.htm>, Aug. 2001, 5 pages. |
Gruber, Thomas R., “Automated Knowledge Acquisition for Strategic Knowledge”, Machine Learning, vol. 4, 1939, pp. 293-336. |
Gruber, Thomas R., “Big Think Small Screen: How Semantic Computing in the Cloud will Revolutionize the Consumer Experience on the Phone”, Keynote presentation at Web 3.0 conference, Jan. 2010, 41 pages. |
Gruber, Thomas R., “Collaborating Around Shared Content on the WWW, W3C Workshop on WWW and Collaboration”, available at <http://www.w3.org/Collaboration/Workshop/Proceedings/P9.html>, Sep. 1995, 1 page. |
Gruber, Thomas R., “Collective Knowledge Systems: Where the Social Web meets the Semantic Web”, Web Semantics: Science, Services and Agents on the World Wide Web, 2007, pp. 1-19. |
Gruber, Thomas R., “Despite our Best Efforts, Ontologies are not the Problem”, AAAI Spring Symposium, Available at <http://tomgruber.org/writing/aaai-ss08.htm>, Mar. 2008, pp. 1-40. |
Gruber, Thomas R., “Enterprise Collaboration Management with Intraspect”, Intraspect Technical White Paper, Jul. 2001, pp. 1-24. |
Gruber, Thomas R., “Every Ontology is a Treaty—A Social Agreement—Among People with Some Common Motive in Sharing”, Official Quarterly Bulletin of AIS Special Interest Group on Semantic Web and Information Systems, vol. 1, No. 3, 2004, pp. 1-5. |
Gruber, Thomas R., “Helping Organizations Collaborate, Communicate, and Learn”, Presentation to NASA Ames Research, available at <http://tomgruber.org/writing/organizational-intelligence-talk.htm>, Mar.-Oct. 2003, 30 pages. |
Gruber, Thomas R., “Intelligence at the Interface: Semantic Technology and the Consumer Internet Experience”, Presentation at Semantic Technologies Conference, Available online at <http://tomgruber.org/writing/semtech08.htm>, May 20, 2008, pp. 1-40. |
Gruber, Thomas R., “Interactive Acquisition of Justifications: Learning “Why” by Being Told “What””, Knowledge Systems Laboratory, Technical Report KSL 91-17, Original Oct. 1990, Revised Feb. 1991, 24 pages. |
Gruber, Thomas R., “It Is What It Does: The Pragmatics of Ontology for Knowledge Sharing”, Proceedings of the International CIDOC CRM Symposium, Available at <http://tomgruber.org/writing/cidoc-ontology.htm>, Mar. 26, 2003, 21 pages. |
Gruber, Thomas R., “Ontologies, Web 2.0 and Beyond”, Ontology Summit, available at <http://tomgruber.org/writing/ontolog-social-web-keynote.htm>, Apr. 24, 2007, 17 pages. |
Gruber, Thomas R., “Ontology of Folksonomy: A Mash-up of Apples and Oranges”, Int'l Journal on Semantic Web & Information Systems, vol. 3, No. 2, 2007, 7 pages. |
Gruber, Thomas R., “Siri, A Virtual Personal Assistant-Bringing Intelligence to the Interface”, Semantic Technologies conference, Jun. 16, 2009, 21 pages. |
Gruber, Thomas R., “TagOntology”, Presentation to Tag Camp, Oct. 29, 2005, 20 pages. |
Gruber, Thomas R., “Toward Principles for the Design of Ontologies Used for Knowledge Sharing”, International Journal of Human-Computer Studies, vol. 43, No. 5-6, Nov. 1995, pp. 907-928. |
Gruber, Thomas R., “Where the Social Web meets the Semantic Web”, Presentation at the 5th International Semantic Web Conference, Nov. 2006, 38 pages. |
Guzzoni et al., “A Unified Platform for Building Intelligent Web Interaction Assistants”, Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Computer Society, 2006, 4 pages. |
Guzzoni et al., “Active, A Platform for Building Intelligent Operating Rooms”, Surgetica 2007 Computer-Aided Medical Interventions: tools and Applications, 2007, pp. 191-198. |
Guzzoni et al., “Active, A Tool for Building Intelligent User Interfaces”, ASC 2007, Palma de Mallorca, Aug. 2007, 6 pages. |
Guzzoni et al., “Modeling Human-Agent Interaction with Active Ontologies”, AAAI Spring Symposium, Interaction Challenges for Intelligent Assistants, Stanford University, Palo Alto, California, 2007, 8 pages. |
Hardwar, Devemder, “Driving App Waze Builds its own Siri for Hands-Free Voice Control”, Available online at <http://venturebeat.com/2012/02/09/driving-app-waze-builds-its-own-siri-for-hands-free-voice-control/>, retrieved on Feb. 9, 2012, 4 pages. |
Harris, F. J., “On the Use of Windows for Harmonic Analysis with the Discrete Fourier Transform”, In Proceedings of the IEEE, vol. 66, No. 1, Jan. 1978, 34 pages. |
Helm, et al., “Budding Visual Language Parsers”, Proceedings of CHI'91, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1991, 8 pages. |
Hermansky, H., “Perceptual Linear Predictive (PLP) Analysis of Speech”, Journal of the Acoustical Society of America, vol. 87, No. 4, Apr. 1990, 15 pages. |
Hermansky, H., “Recognition of Speech in Additive and Convolutional Noise Based on Rasta Spectral Processing”, Proceedings of IEEE International Conference on Acoustics, speech and Signal Processing (ICASSP'93), Apr. 27-30, 1993, 4 pages. |
Hewlett Packard, “Irda Physical Layer Implementation For Hewlett Packard Infrared Products”, Application Note 1119, 1998, 4 pages. |
Hoehfeld et al., “Learning with Limited Numerical Precision Using the Cascade-Correlation Algorithm”, IEEE Transactions on Neural Networks, vol. 3, No. 4, Jul. 1992, 18 pages. |
Holmes, J. N., “Speech Synthesis and Recognition-Stochastic Models for Word Recognition”, Published by Chapman & Hall, London, ISBN 0 412 534304, 1998, 7 pages. |
Hon et al., “CMU Robust Vocabulary-Independent Speech Recognition System”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-91), Apr. 14-17, 1991, 4 pages. |
IBM, “Integrated Audio-Graphics User Interface”, IBM Technical Disclosure Bulletin, vol. 33, No. 11, Apr. 1991, 4 pages. |
IBM, “Speech Editor”, IBM Technical Disclosure Bulletin, vol. 2 , No. 10, Mar. 10, 1987, 3 pages. |
IBM, “Speech Recognition with Hidden Markov Models of Speech Waveforms”, IBM Technical Disclosure Bulletin, vol. 34, No. 1, Jun. 1991, 10 pages. |
Integration Associates Inc., “Proximity Sensor Demo Kit User Guide, Version 0.62-Preliminary”, 2004, 17 pages. |
Intention to Grant received for European Patent Application No. 07839698.3, dated Mar. 21, 2014, 6 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US1993/012666, dated Mar. 1, 1995, 5 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US1993/012637, dated Apr. 10, 1995, 7 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US1994/011011, dated Feb. 28, 1996, 4 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US1995/008369, dated Oct. 9, 1996, 4 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2007/022335, dated Apr. 28, 2009, 13 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2007/023124, dated May 28, 2009, 8 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2007/026130, dated Jul. 7, 2009, 11 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2007/026141, dated Jul. 7, 2009, 5 pages. |
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2007/026164, dated Jul. 7, 2009, 11 pages. |
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/022335, dated Feb. 18, 2008, 15 pages. |
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/023124, dated Jul. 3, 2008, 10 pages. |
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/026130, dated Aug. 21, 2008, 12 pages. |
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/026164, dated Jun. 3, 2008, 13 pages. |
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2011/020861, dated Nov. 29, 2011, 15 pages. |
International Search Report received for PCT Patent Application No. PCT/US1993/012666, dated Nov. 9, 1994, 8 pages. |
International Search Report received for PCT Patent Application No. PCT/US1994/11011 dated Feb. 8, 1995, 3 pages (International Search Report only). |
International Search Report received for PCT Patent Application No. PCT/US1995/008369, dated Nov. 8, 1995, 6 pages. |
Intraspect Software, “The Intraspect Knowledge Management Solution: Technical Overview”, available at <http://tomgruber.org/writing/intraspect-whitepaper-1998.pdf>, 1998, 18 pages. |
Iowegian International, “FIR Filter Properties”, DSPGuru, Digital Signal Processing Central, available at <http://www.dspguru.com/dsp/faq/fir/properties, > retrieved on Jul. 28, 2010, 6 pages. |
Jacobs et al., “Scisor: Extracting Information from On-Line News,”, Communications of the ACM, vol. 33, No. 11, Nov. 1990, 10 pages. |
Jelinek, F., “Self-Organized Language Modeling for Speech Recognition,”, Readings in Speech Recognition, edited by Alex Waibel and Kai-Fu Lee, Morgan Kaufmann Publishers, Inc., ISBN: 1-55860-124-4, 1990, 63 pages. |
Jennings et al., “A Personal News Service Based on a User Model Neural Network”, IEICE Transactions on Information and Systems, vol. E75-D, No. 2, Mar. 1992, 12 pages. |
Ji et al., “A Method for Chinese Syllables Recognition Based upon Sub-syllable Hidden Markov Model”, 1994 International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, Apr. 1994, 4 pages. |
Jones, J., “Speech Recognition for Cyclone”, Apple Computer, Inc., E.R.S. Revision 2.9, Sep. 10, 1992, 93 pages. |
Julia et al., “Un Editeur Interactif De Tableaux Dessines a Main Levee (An Interactive Editor for Hand-Sketched Tables)”, Traitement du Signal, vol. 12, No. 6, 1995, pp. 619-626. |
Karp, P. D., “A Generic Knowledge-Base Access Protocol”, Available online at <http://lecture.cs.buu.ac.th/-f50353/Document/gfp.pdf>, May 12, 1994, 66 pages. |
Katz, S. M., “Estimation of Probabilities from Sparse Data for the Language Model Component of a Speech Recognizer”, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-35, No. 3, Mar. 1987, 3 pages. |
Kitano, H., “PhiDM-Dialog, An Experimental Speech-to-Speech Dialog Translation System”, COMPUTER, vol. 24, No. 6, Jun. 1991, 13 pages. |
Klabbers et al., “Reducing Audible Spectral Discontinuities”, IEEE Transactions on Speech and Audio Processing, vol. 9, No. 1, Jan. 2001, 13 pages. |
Klatt et al., “Linguistic Uses of Segmental Duration in English: Acoustic and Perpetual Evidence”, Journal of the Acoustical Society of America, vol. 59, No. 5, May 1976, 16 pages. |
Knownav, “Knowledge Navigator”, YouTube Video available at <http://www.youtube.com/watch?v=QRH8eimU_20>, Apr. 29, 2008, 1 page. |
Kominek et al., “Impact of Durational Outlier Removal from Unit Selection Catalogs”, 5th ISCA Speech Synthesis Workshop, Jun. 14-16, 2004, 6 pages. |
Kubala et al., “Speaker Adaptation from a Speaker-Independent Training Corpus”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP'90), Apr. 1990, 4 pages. |
Kubala et al., “The Hub and Spoke Paradigm for CSR Evaluation”, Proceedings of the Spoken Language Technology Workshop, Mar. 1994, 9 pages. |
Lee et al., “A Real-Time Mandarin Dictation Machine for Chinese Language with Unlimited Texts and Very Large Vocabulary”, International Conference on Acoustics, Speech and Signal Processing, vol. 1, Apr. 1990, 5 pages. |
Lee et al., “Golden Mandarin(II)-An Improved Single-Chip Real-Time Mandarin Dictation Machine for Chinese Language with Very Large Vocabulary”, IEEE International Conference of Acoustics, Speech and Signal Processing, vol. 2, 1993, 4 pages. |
Lee et al., “Golden Mandarin(II)-An Intelligent Mandarin Dictation Machine for Chinese Character Input with Adaptation/Learning Functions”, International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, Apr. 1994, 5 pages. |
Lee et al., “System Description of Golden Mandarin (I) Voice Input for Unlimited Chinese Characters,”, International Conference on Computer Processing of Chinese & Oriental Languages, vol. 5, Nos. 3 & 4, Nov. 1991, 16 pages. |
Lee, Kai F., “Large-Vocabulary Speaker-Independent Continuous Speech Recognition: The SPHINX System”, Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy, Computer Science Department, Carnegie Mellon University, Apr. 1988, 195 pages. |
Lemon et al., “Multithreaded Context for Robust Conversational Interfaces: Context- Sensitive Speech Recognition and Interpretation of Corrective Fragments”, ACM Transactions on Computer-Human Interaction, vol. 11 , No. 3, Sep. 2004, pp. 241-267. |
Leong et al., “CASIS: A Context-Aware Speech Interface System”, Proceedings of the 10th International Conference on Intelligent user Interfaces, Jan. 9-12, 2005, pp. 231-238. |
Lieberman et al., “Out of Context: Computer Systems that Adapt to, and Learn from, Context”, IBM Systems Journal, vol. 39, Nos. 3&4, 2000, pp. 617-632. |
Lin et al., “A Distributed Architecture for Cooperative Spoken Dialogue Agents with Coherent Dialogue State and History”, Available on line at <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=1 0.1.1.42.272>, 1999, 4 pages. |
Lin et al., “A New Framework for Recognition of Mandarin Syllables with Tones Using Sub-syllabic Unites”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-93), Apr. 27-30, 1993, 4 pages. |
Linde et al., “An Algorithm for Vector Quantizer Design”, IEEE Transactions on Communications, vol. 28, No. 1, Jan. 1980, 12 pages. |
Liu et al., “Efficient Joint Compensation of Speech for the Effects of Additive Noise and Linear Filtering”, IEEE International Conference of Acoustics, Speech, and Signal Processing,ICASSP-92, Mar. 23-26, 1992, 4 pages. |
Logan, B., “Mel Frequency Cepstral Co-efficients for Music Modeling”, International Symposium on Music Information Retrieval, 2000, 2 pages. |
Lowerre, B. T., “The-HARPY Speech Recognition System,”, Doctoral Dissertation, Department of Computer Science, Carnegie Mellon University, Apr. 1976, 20 pages. |
Maghbouleh, A., “An Empirical Comparison of Automatic Decision Tree and Linear Regression Models for Vowel Durations”, Revised Version of a Paper Presented at the Computational Phonology in Speech Technology workshop, 1996 annual meeting of the Association for Computational Linguistics in Santa Cruz, California, 7 pages. |
Markel et al., “Linear Prediction of Speech”, Springer-Verlag, Berlin Heidelberg New York, 1976, 12 pages. |
Martin et al., “The Open Agent Architecture: A Framework for Building Distributed Software Systems”, Applied Artificial Intelligence: An International Journal, vol. 13, No. 1-2, available at <http://adam.cheyer.com/papers/oaa.pdf> >, retrieved from internet on, Jan.-Mar. 1999, 38 pages. |
McGuire et al., “Shade: Technology for Knowledge-Based Collaborative Engineering”, Journal of Concurrent Engineering, Applications and Research (CERA), 1993, 18 pages. |
“Mel Scale”, Wikipedia the Free Encyclopedia, last modified on Oct. 13, 2009 and retrieved on Jul. 28, 2010, available online <http://en.wikipedia.org/wiki/Mel_scale>, 2 pages. |
Meng et al., “Wheels: A Conversational System in the Automobile Classified Domain”, Proceedings of Fourth International Conference on Spoken Language, ICSLP 96, vol. 1, Oct. 1996, pp. 1-4. |
Milward et al., “D2.2: Dynamic MultimodalInterface Reconfiguration alk and Look: Tools for Ambient Linguistic Knowledge”, available at <http://www.ihmc.us/users/nblaylock!Pubs/Files/talk d2.2.pdf>, Aug. 8, 2006, 69 pages. |
“Minimum Phase”, Wikipedia the free Encyclopedia, Last Modified on Jan. 12, 2010 and retrieved on Jul. 28, 2010, available online at <http://en.wikipedia.org/wiki/Minimum_phase>, 8 pages. |
Mitra et al., “A Graph-Oriented Model for Articulation of Ontology Interdependencies”, Advances in Database Technology, Lecture Notes in Computer Science, vol. 1777, 2000, pp. 1-15. |
Moran et al., “Multimodal User Interfaces in the Open Agent Architecture”, International Conference on Intelligent User Interfaces (IUI97), 1997, 8 pages. |
Morgan, B., “Business Objects (Business Objects for Windows) Business Objects Inc.”, DBMS, vol. 5, No. 10, Sep. 1992, 3 pages. |
Mountford et al., “Talking and Listening to Computers”, The Art of Human-Computer Interface Design, Addison-Wesley Publishing Company, Inc, 1990, pp. 319-334. |
Mozer, Michael C., “An Intelligent Environment Must be Adaptive”, IEEE Intelligent Systems, Mar./Apr. 1999, pp. 11-13. |
Murty et al., “Combining Evidence from Residual Phase and MFCC Features for Speaker Recognition”, IEEE Signal Processing Letters, vol. 13, No. 1, Jan. 2006, 4 pages. |
Murveit et al., “Integrating Natural Language Constraints into HMM-based Speech Recognition”, International Conference on Acoustics, Speech, and Signal Processing, Apr. 3-6, 1990, 5 pages. |
Nakagawa et al., “Speaker Recognition by Combining MFCC and Phase Information”, IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Mar. 14-19, 2010, 4 pages. |
Naone, Erica, “TR10: Intelligent Software Assistant”, Technology Review, Mar.-Apr. 2009, 2 pages. |
Neches et al., “Enabling Technology for Knowledge Sharing”, Fall, 1991, pp. 37-56. |
Niesler et al., “A Variable-Length Category-Based N-Gram Language Model”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'96), vol. 1, May 7-10, 1996, 6 pages. |
Non Final Office Action received for U.S. Appl. No. 15/207,260, dated Aug. 11, 2016, 5 pages. |
Non Final Office Action received for U.S. Appl. No. 11/638,251, dated Sep. 29, 2009, 7 pages. |
Non Final Office Action received for U.S. Appl. No. 11/650,014, dated May 24, 2010, 16 pages. |
Non Final Office Action received for U.S. Appl. No. 11/770,614, dated Nov. 15, 2010, 16 pages. |
Non Final Office Action received for U.S. Appl. No. 11/871,725, dated May 18, 2010, 11 pages. |
Non Final Office Action received for U.S. Appl. No. 11/871,725, dated Oct. 27, 2010, 26 pages. |
Non-Final Office Action received for U.S. Appl. No. 11/586,862, dated Mar. 31, 2009, 11 pages. |
Non-Final Office Action received for U.S. Appl. No. 11/620,702, dated Mar. 8, 2010, 16 pages. |
Non-Final Office Action received for U.S. Appl. No. 11/638,251, dated Mar. 22, 2010, 11 pages. |
Non-Final Office Action received for U.S. Appl. No. 12/613,439, dated Jun. 6, 2013, 9 pages. |
Noth et al., “Verbmobil: The Use of Prosody in the Linguistic Components of a Speech Understanding System”, IEEE Transactions On Speech and Audio Processing, vol. 8, No. 5, Sep. 2000, pp. 519-532. |
Notice of Allowance received for Canadian Patent Application No. 2,812,011, dated Jan. 5, 2016, 1 page. |
Notice of Allowance received for Chinese Patent Application No. 201410051717.9, dated Feb. 3, 2016, 4 pages (2 pages of English Translation and 2 pages of Official Copy). |
Notice of Allowance received for Japanese Patent Application No. 2013-087347, dated Jan. 5, 2016, 3 pages (Official Copy Only). |
Notice of Allowance received for U.S. Appl. No. 11/586,862, dated Sep. 15, 2009, 6 pages. |
Notice of Allowance received for U.S. Appl. No. 12/613,439, dated Oct. 2, 2013, 9 pages. |
Notice of Allowance received for U.S. Appl. No. 14/137,837, dated Mar. 11, 2016, 9 pages. |
Notice of Allowance Received for U.S. Appl. No. 15/207,260, dated Nov. 23, 2016, 9 pages. |
Office Action received for Canadian Patent Application No. 2,812,011, dated Nov. 24, 2014, 5 pages. |
Office Action received for Chinese Patent Application No. 201410051717.9, dated May 27, 2015, 8 pages (3 pages of English Translation and 5 pages of Official copy). |
Office Action received for European Patent Application No. 07839698.3, dated Aug. 13, 2013, 6 pages. |
Office Action received for European Patent Application No. 07839698.3, dated Jun. 8, 2011, 6 pages. |
Office Action received for European Patent Application No. 07839698.3, dated Mar. 2, 2012, 6 pages. |
Office Action received for Indian Patent Application No. 2571/DELNP/2009, dated Sep. 30, 2016, 8 pages. |
Office Action received for Japanese Patent Application No. 2013-087347, dated Apr. 8, 2014, 4 pages (English Translation only). |
Office Action received for Japanese Patent Application No. 2013-087347, dated Mar. 30, 2015, 9 pages (6 pages of English Translation and 3 pages of Official Copy). |
Papadimitriou et al., “Latent Semantic Indexing: A Probabilistic Analysis”, available online at <http://citeseerx.ist.psu.edu/messaqes/downloadsexceeded.html>, Nov. 14, 1997, 21 pages. |
Parsons, T. W., “Voice and Speech Processing”, Linguistics and Technical Fundamentals, Articulatory Phonetics and Phonemics, 1987 McGraw-Hill, Inc., ISBN: 0-07-0485541-0, pp. 92-97. |
Parsons, Thomas W., “Voice and Speech Processing”, Pitch and Formant Estimation, 1987, McGraw-Hill, Inc., ISBN: 0-07-0485541-0, 1987, 15 pages. |
Phoenix Solutions, Inc., “Declaration of Christopher Schmandt Regarding the MIT Galaxy System”, West Interactive Corp., a Delaware Corporation, Document 40, Jul. 2, 2010, 162 pages. |
Picone, J., “Continuous Speech Recognition Using Hidden Markov Models”, IEEE ASSP Magazine, vol. 7, No. 3, Jul. 1990, 16 pages. |
Rabiner et al., “Fundamentals of Speech Recognition”, AT&T, Published by Prentice-Hall, Inc., ISBN: 0-13-285826-6, 1993, 17 pages. |
Rabiner et al., “Note on the Properties of a Vector Quantizer for LPC Coefficients”, Bell System Technical Journal, vol. 62, No. 8, Oct. 1983, pp. 2602-2617. |
Ratcliffe, M., “ClearAccess 2.0 Allows SQL Searches Off-Line (Structured Query Language) (ClearAccess Corp. Preparing New Version of Data-Access Application with Simplified User Interface, New Features) (Product Announcement)”, MacWeek, vol. 6, No. 41, Nov. 16, 1992, 2 pages. |
Remde et al., “SuperBook: An Automatic Tool for Information Exploration-Hypertext?”, In Proceedings of Hypertext, 87 papers, Nov. 13-15, 1987, 14 pages. |
Reynolds, C. F., “On-Line Reviews: A New Application of the HICOM Conferencing System”, IEE Colloquium on Human Factors in Electronic Mail and Conferencing Systems, Feb. 3, 1989, 4 pages. |
Rice et al., “Monthly Program: Nov. 14, 1995”, The San Francisco Bay Area Chapter of ACM SIGCHI, Available at <http://www.baychi.org/calendar/19951114>, Nov. 14, 1995, 2 pages. |
Rice et al., “Using the Web instead of a Window System”, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI'96, 1996, pp. 1-14. |
Rigoll, G., “Speaker Adaptation for Large Vocabulary Speech Recognition Systems Using Speaker Markov Models”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP'89), May 23-26, 1989, 4 pages. |
Riley, M D., “Tree-Based Modelling of Segmental Durations”, Talking Machines Theories, Models, and Designs, 1992 Elsevier Science Publishers B.V., North-Holland, ISBN: 08-444-89115.3, 1992, 15 pages. |
Rivlin et al., “Maestro: Conductor of Multimedia Analysis Technologies”, SRI International, 1999, 7 pages. |
Rivoira et al., “Syntax and Semantics in a Word-Sequence Recognition System”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'79), Apr. 1979, 5 pages. |
Roddy et al., “Communication and Collaboration in a Landscape of B2B eMarketplaces”, VerticalNet Solutions, A Business White Paper, Jun. 15, 2000, 23 pages. |
Roos, Gina, “Agilent's new proximity sensor beats the fumble-fingered competition hands down . . . literally”, eeProductCenter, available at <http://www.eeproductcenter.com/showArticle.jhtml?articleID_46200544>, Sep. 1, 2004, 3 pages. |
Rosenfeld, R., “A Maximum Entropy Approach to Adaptive Statistical Language Modelling”, Computer Speech and Language, vol. 10, No. 3, Jul. 1996, 25 pages. |
Roszkiewicz, A., “Extending your Apple”, Back Talk—Lip Service, A+ Magazine, The Independent Guide for Apple Computing, vol. 2, No. 2, Feb. 1984, pp. 3-7. |
Sakoe et al., “Dynamic Programming Algorithm Optimization for Spoken Word Recognition”, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-26, No. 1, Feb. 1978, 8 pages. |
Salton et al., “On the Application of Syntactic Methodologies in Automatic Text Analysis”, Information Processing and Management, vol. 26, No. 1, Great Britain, 1990, 22 pages. |
Savoy, J., “Searching Information in Hypertext Systems Using Multiple Sources of Evidence”, International Journal of Man-Machine Studies, vol. 38, No. 6, Jun. 1996, 15 pages. |
Scagliola, C., “Language Models and Search Algorithms for Real-Time Speech Recognition”, International Journal of Man-Machine Studies, vol. 22, No. 5, 1985, 25 pages. |
Schmandt et al., “Augmenting a Window System with Speech Input”, IEEE Computer Society, Computer, vol. 23, No. 8, Aug. 1990, 8 pages. |
Schnelle, Dirk, “Context Aware Voice User Interfaces for Workflow Support”, Dissertation paper, Aug. 27, 2007, 254 pages. |
Schutze, H., “Dimensions of Meaning”, Proceedings of Supercomputing'92 Conference, Nov. 16-20, 1992, 10 pages. |
Seneff et al., “A New Restaurant Guide Conversational System: Issues in Rapid Prototyping for Specialized Domains”, retrived from Internet on Oct. 1996 <citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.16 . . . rep . . . ,>, Oct. 1996, 4 pages. |
Sheth et al., “Evolving Agents for Personalized Information Filtering,”, In Proceedings of the Ninth Conference on Artificial Intelligence for Applications, Mar. 1-5, 1993, 9 pages. |
Sheth et al., “Relationships at the Heart of Semantic Web: Modeling, Discovering, and Exploiting Complex Semantic Relationships”, Enhancing the Power of the Internet: Studies in Fuzziness and Soft Computing, Oct. 13, 2002, pp. 1-38. |
Shikano et al., “Speaker Adaptation Through Vector Quantization”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'86), vol. 11, Apr. 1986, 4 pages. |
Sigurdsson et al., “Mel Frequency Cepstral Co-efficients: An Evaluation of Robustness of MP3 Encoded Music”, Proceedings of the 7th International Conference on Music Information Retrieval, 2006, 4 pages. |
Silverman et al., “Using a Sigmoid Transformation for Improved Modeling of Phoneme Duration”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Mar. 15-19, 1999, 5 pages. |
Simonite, Tom, “One Easy Way to Make Siri Smarter”, Technology Review, Oct. 18, 2011, 2 pages. |
Stent et al., “The CommandTalk Spoken Dialogue System”, SRI International, 1999, pp. 183-190. |
Supplemental European Search Report received for European Application No. 07863192.6, dated Apr. 4, 2011, 8 pages. |
Tenenbaum et al., “Data Structure Using Pascal”, 1981 Prentice-Hall, Inc, 1981, pp. 252-283. |
Textndrive, “Text'nDrive App Demo—Listen and Reply to your Messages by Voice while Driving!”, YouTube Video available at <http://www.youtube.com/watch?v=WaGfzoHsAMw>, Apr. 27, 2010, 1 page. |
Tofel, Kevin C. et al., “SpeakToit: A Personal Assistant for Older iPhones, iPads”, Apple News, Tips and Reviews, Feb. 9, 2012, 7 pages. |
Tsai et al., “Attributed Grammar—A Tool for Combining Syntactic and Statistical Approaches to Pattern Recognition”, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-10, No. 12, Dec. 1980, 13 pages. |
Tucker, Joshua, “Too Lazy to Grab Your TV Remote? Use Siri Instead”, Engadget, Nov. 30, 2011, pp. 1-8. |
Tur et al., “The CALO Meeting Assistant System”, IEEE Transactions on Audio, Speech, and Language Processing, vol. 18, No. 6, Aug. 2010, pp. 1601-1611. |
Tur et al., “The CALO Meeting Speech Recognition and Understanding System”, Proc. IEEE Spoken Language Technology Workshop, 2008, 4 pages. |
Udell, J., “Computer Telephony”, BYTE, vol. 19, No. 7, Jul. 1, 1994, 9 pages. |
Universal Remote Control, Inc., “All Complete Control Remotes Now Use Narrow Band RF”, available at <http://www.universalremote.com/corporate/press_release.php?press=13>, 2008. |
Universal Remote Control, Inc., “Operating System with the Aurora MX-950”, MX-950 Owners Manual, 2005. |
Universal Remote Control, Inc., “MX-950 (The Aurora”, available at <www.unversalremote.com>, 2005. |
Van Santen, J. P., “Contextual Effects on Vowel Duration”, Journal Speech Communication, vol. 11, No. 6, Dec. 1992, pp. 513-546. |
Vepa et al., “New Objective Distance Measures for Spectral Discontinuities in Concatenative Speech Synthesis”, Proceedings of the IEEE 2002 Workshop on Speech Synthesis, 2002, 4 pages. |
Verschelde, J., “MATLAB Lecture 8. Special Matrices in MATLAB,”, UIC Dept. of Math., Stat. & C.S., MCS 320, Introduction to Symbolic Computation, Nov. 23, 2005, 4 pages. |
Vingron, M., “Near-Optimal Sequence Alignment”, Current Opinion in Structural Biology, vol. 6, No. 3, Jun. 1996, pp. 346-352. |
Vlingo Lncar, “Distracted Driving Solution with Vlingo InCar”, YouTube Video, Available at <http://www.youtube.com/watch?v=Vqs8XfXxgz4>, Oct. 2010, 2 pages. |
Vlingo, “Vlingo Launches Voice Enablement Application on Apple App Store”, Press Release, Dec. 3, 2008, 2 pages. |
Voiceassist, “Send Text, Listen to and Send E-Mail by Voice”, YouTube Video available at <http://www.youtube.com/watch?v=0tEU61nHHA4>, Jul. 30, 2009, 1 page. |
Voiceonthego, “Voice On The Go (BlackBerry)”, YouTube Video, available at <http://www.youtube.com/watch?v=pJqpWgQS98w>, Jul. 27, 2009, 1 page. |
Werner et al., “Prosodic Aspects of Speech”, Universite de Lausanne, Fundamentals of Speech Synthesis and Speech Recognition: Basic Concepts, State of the Art and Future Challenges, 1994, 18 pages. |
Wolff, M., “Post Structuralism and the ARTFUL Database: Some Theoretical Considerations”, Information Technology and Libraries, vol. 13, No. 1, Mar. 1994, 10 pages. |
Wu, Min, “Digital Speech Processing and Coding”, Multimedia Signal Processing, Lecture-2 Course Presentation, University of Maryland, College Park, 2003, 8 pages. |
Wu, Min, “Speech Recognition, Synthesis, and H.C.I.”, Multimedia Signal Processing, Lecture-3 Course Presentation, University of Maryland, College Park, 2003, pp. 1-11. |
Wyle, M. F., “A Wide Area Network Information Filter,”, Proceedings of First International Conference on Artificial Intelligence on Wall Street, Oct. 9-11, 1991, 6 pages. |
Yankelovich et al., “Intermedia: The Concept and the Construction of a Seamless Information Environment”, COMPUTER Magazine, IEEE, Jan. 1988, 16 pages. |
Yoon et al., “Letter-to-Sound Rules for Korean”, Department of Linguistics, The Ohio State University, 2002, 4 pages. |
Zhao, Y., “An Acoustic-Phonetic-Based Speaker Adaptation Technique for Improving Speaker-Independent Continuous Speech Recognition,”, IEEE Transactions on Speech and Audio Processing, vol. 2, No. 3, Jul. 1994, pp. 380-394. |
Zovato et al., “Towards Emotional Speech Synthesis: A Rule based Approach”, Proceedings of 5th ISCA Speech Synthesis Workshop—Pittsburgh, 2004, pp. 219-220. |
Zue, Victor W., “Toward Systems that Understand Spoken Language”, ARPA Strategic Computing Institute, Feb. 1994, 9 pages. |
Zue, Victor, “Conversational Interfaces: Advances and Challenges”, Spoken Language System Group, Sep. 1997, 10 pages. |
Office Action received for Japanese Patent Application No. 2015-150013, dated Feb. 3, 2017, 10 pages (5 pages of English Translation and 5 pages of Official Copy). |
Final Office Action dated Nov. 23, 2012, for U.S. Appl. No. 12/852,056, filed Aug. 6, 2010, 13 pages. |
Final Office Action dated Apr. 8, 2014, for U.S. Appl. No. 12/852,056, filed Aug. 6, 2010, 13 pages. |
International Search Report dated Dec. 2, 2011, for PCT Application No. PCT/US2011/046840, filed Aug. 5, 2011, seven pages. |
Lee, S.K. et al. (Apr. 1985). “A Multi-Touch Three Dimensional Touch-Sensitive Tablet,” Proceedings of CHI: ACM Conference on Human Factors in Computing Systems, pp. 21-25. |
Non-Final office Action dated Jul. 6, 2012, for U.S. Appl. No. 12/852,056, filed Aug. 6, 2010, 14 pages. |
Non-Final office Action dated Oct. 18, 2013, for U.S. Appl. No. 12/852,056, filed Aug. 6, 2010, 14 pages. |
Non-Final office Action dated Aug. 25, 2014, for U.S. Appl. No. 12/852,056, filed Aug. 6, 2010, 14 pages. |
Non-Final office Action dated Oct. 31, 2016, for U.S. Appl. No. 14/598,044, filed Jan. 15, 2015, 12 pages. |
Notice of Allowance dated Apr. 20, 2017, for U.S. Appl. No. 14/598,044, filed Jan. 15, 2015, five pages. |
Rubine, D.H. (Dec. 1991). “The Automatic Recognition of Gestures,” CMU-CS-91-202, Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Computer Science at Carnegie Mellon University, 285 pages. |
Rubine, D.H. (May 1992). “Combining Gestures and Direct Manipulation,” CHI '92, pp. 659-660. |
Westerman, W. (Spring 1999). “Hand Tracking, Finger Identification, and Chordic Manipulation on a Multi-Touch Surface,” A Dissertation Submitted to the Faculty of the University of Delaware in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Electrical Engineering, 364 pages. |
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