Patent Grant
10798232
The field of the invention is data processing, or, more specifically, methods, apparatus, and products for presenting a coloring pattern by a case of a mobile device based on received content.
The development of the EDVAC computer system of 1948 is often cited as the beginning of the computer era. Since that time, computer systems have evolved into extremely complicated devices. Today's computers are much more sophisticated than early systems such as the EDVAC. Computer systems typically include a combination of hardware and software components, application programs, operating systems, processors, buses, memory, input/output devices, and so on. As advances in semiconductor processing and computer architecture push the performance of the computer higher and higher, more sophisticated computer software has evolved to take advantage of the higher performance of the hardware, resulting in computer systems today that are much more powerful than just a few years ago.
Devices such as mobile devices may receive content. The mobile device may present a notification indicating that the content was received. Typically, notifications appear similar for all content of a particular type. For example, all notifications for received emails may appear similar aside from preview text within the notification.
A method of presenting a coloring pattern by a case of a mobile device based on received content may comprise receiving, by the mobile device, content; determining, based on the content, a coloring pattern; generating, based on the coloring pattern, a heat pattern in an inductive mesh of the mobile device; and presenting, by a thermally activated material included in the case of the mobile device and in thermal contact with the inductive mesh, the coloring pattern.
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular descriptions of exemplary embodiments of the invention as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts of exemplary embodiments of the invention.
Exemplary methods, apparatus, and products for of presenting a coloring pattern by a case of a mobile device based on received content in accordance with the present invention are described with reference to the accompanying drawings, beginning with
The mobile device 102 may comprise a phone, a smartphone, a laptop, a tablet, or any other portable and/or self-contained computing device as can be appreciated. The mobile device 102 includes an internal inductive mesh. The inductive mesh receives current produced by the mobile device 102 (e.g., by an electromagnet and oscillator within the mobile device 102) and generates a current within a conductor. The inductive mesh may include one or more induction elements. Thus, one or more areas of the inductive mesh may be separately heated. The induction elements may be separated by a magnetically insulated or thermally insulated material so as to prevent induction and/or heat transfer between induction elements.
The case of the mobile device 102 can include a thermally activated material. The thermally activated material is any material that may change color when exposed to heat. The thermally activated material may be in contact with the conductor of the inductive mesh. In other words, the thermally activated material may be said to be thermally coupled to the inductive mesh. Where thermally activated material is conductive, the thermally activated material may be directly heated by the inductive mesh without an additional conductive material to transfer heat to the thermally activated material. The case of the mobile device 102 may also include an external insulation layer to protect a user 108 from direct contact with heat produced by the inductive mesh and transferred via the thermally activated material. The insulation layer may be transparent so as to allow a user 108 to observe color changes in the thermally activated material.
The content source 104 may be a computing device configured to send content to the mobile device 102 via the network 106. Accordingly, the content source 104 may comprise a server, a plurality of servers, a virtual machine, another mobile device, a wearable computing device, or other computing device as can be appreciated. The content sent to the mobile device may comprise any digital or multimedia content as can be appreciated, including text data, audio data, video data, image data, or combinations thereof. Accordingly, the content may comprise an email, a text message, a voice mail, an audio file, a video file, a push notification, or other content as can be appreciated.
The network 106 may provide a communication pathway for content from the content source 104 to the mobile device 102. The network 106 may comprise one or more Wide-Area Networks (WANs), Local Area Networks (LANs), Personal Area Networks (PANs), Internets, Intranets, wired networks, wireless networks, cellular networks, mesh networks, or other networks 106 as can be appreciated.
The mobile device 102 may be configured to receive content from the content source 104 via the network 106. For example, the content source 104 may comprise an email server, and the content may comprise an email message. As another example, the content source 104 may comprise a server of an emergency notice system, and the content may comprise a notification relating to an emergency (e.g., a weather emergency). As a further example, the content source 104 may comprise a wearable device (e.g., a smart watch or fitness monitor), and the content may comprise a message relating to the health or activity of the user 108.
In response to receiving the content, the mobile device 102 may determine a coloring pattern to be presented by heating the thermally activated material via the inductive mesh. The coloring pattern may comprise a particular color, e.g., red, yellow, green, etc. to be presented. The coloring pattern may also include an arrangement of one or more colored areas, with each of the one or more colored areas being a particular (e.g., same or different) color. For example, the arrangement may include a grid or matrix of dots or other shapes, a line or series of dots or other shapes, or other arrangements as can be appreciated. Determining the coloring pattern may include identifying one or more attributes associated with the content. The one or more attributes associated with the content may include, for example, a sender of the content (e.g., a sender of an email, a caller for a voicemail, an originating application for a push notification), a type of content (e.g., voicemail, email, text message, emergency alert), whether an attachment is included, a type of attachment, etc.
Determining the one or more attributes may comprise performing an image analysis on the content and/or an attachment included in the content. For example, the one or more attributes may include identified person(s) in an image or video that are identified through image analysis. Determining the one or more attributes may also include performing a sentiment analysis on the content. For example, the one or more attributes may include a type of sentiment (e.g., positive or negative sentiment). The one or more attributes may also include a flag or identifier indicating a change in sentiment. For example, the content may be an email message in a chain of emails. The one or more attributes may indicate a change in sentiment from a previous message in the chain. Determining the one or more attributes may also include performing a relationship analysis on the senders and/or recipients of the content. Determining the one or more attributes may include identifying one or more keywords. Accordingly, the one or more attributes may include the identified one or more keywords, or a flag or identifier indicating the presence of one or more particular keywords. Determining the one or more attributes may also include performing an audio analysis on the content. For example, where the content is a voicemail, determining the one or more attributes may include applying a speech-to-text function to the content to generate text data. Accordingly, determining the one or more attributes may include applying a keyword analysis, sentiment analysis, or other text analysis to the text data generated from audio content.
Determining the coloring pattern may also include identifying a data structure mapping the determined one or more attributes to the coloring pattern. The data structure may include a table entry, database entry, or other data structure. As an example, assume the following table mapping attributes to a coloring pattern.
Here, the example table includes attributes for the “Content Type,” “Sender,” and “Attachment?” indicating whether the content includes an attached file. Identifying a data structure mapping the determined one or more attributes to the coloring pattern may include identifying a matching data structure that maps each of the determined one or more attributes (e.g., an exact match). Using the example table above, if an email message is received from a supervisor with an attachment, the table entry mapped to the coloring pattern “red” would be identified.
If there is no matching data structure that maps each of the determined one or more attributes, identifying a data structure may include identifying a nearest matching data structure. Continuing with the example above, assume an email message is received from a supervisor without an attachment. No entry matching each attribute of the received email message is included in the example table. The nearest matching data structure may be identified as a data structure matching a greatest number of the determined one or more attributes. Here, the [“Email”, “Parent”, “No”] entry mapped to the color “Green” matches two out of the three attributes. Accordingly, the coloring pattern may be determined as “Green.”
The nearest matching data structure may also be identified based on a priority of attributes. For example, assume a text message is received from a supervisor without an attachment. Assume the “Content Type” attribute has a greater priority than the “Sender” and “Attachment?” attributes. As the text message matches the greater priority “Content Type” attribute, the coloring pattern may be determined as “Yellow.” The data structure may also indicate a default mapping to a coloring pattern for content that does not exactly match the one or more attributes of other data structure entries (e.g., a default mapping for content of a particular type, a default mapping for content from a particular sender). Thus, data structures mapping particular combinations of attributes to a coloring pattern may serve to supersede or override default mappings.
After determining the coloring pattern, the mobile device 102 may generate a heat pattern corresponding to the coloring pattern in the inductive mesh. Accordingly, the mobile device 102 may generate a particular current or magnetic field to inductively heat a conductor of the inductive mesh. The thermally activated material may then present the coloring pattern, as the thermally activated material is thermally coupled to the inductive mesh and will react to the generated heat. The coloring pattern may then be observed by a user 108 so as to be informed about the received content.
The arrangement of devices making up the exemplary system illustrated in
Presenting a coloring pattern by a case of a mobile device based on received content in accordance with the present invention is generally implemented with computers, that is, with automated computing machinery. In the system of
Stored in RAM 205 is a color control module 212, a module of computer program instructions for presenting a coloring pattern by a case of a mobile device based on received content. Also stored RAM 206 is content 214 received from a content source 104.
Also stored in RAM 206 is an operating system 216. Operating systems useful in computers configured for presenting a coloring pattern by a case of a mobile device based on received content according to embodiments of the present invention include UNIX™, Linux™, Microsoft XP™, AIX™, IBM's i5/OS™, and others as will occur to those of skill in the art. The operating system 216, color control module 212, and content 214 in the example of
The computer 202 of
The example computer 202 of
The exemplary computer 202 of
For further explanation,
The method of
The one or more attributes may also include one or more keywords included in the content (e.g., keywords in text content, keywords in audio content as determined by audio analysis, etc.). The one or more attributes may also include a flag or indication of the presence of a predetermined keyword in the content. The one or more attributes may further include a sentiment of the content (e.g., as determined by sentiment analysis) or an indication of a change in sentiment relative to previously received content (e.g., a previous message in a chain or series of email messages or text messages).
The method of
The method of
For further explanation,
Determining the one or more attributes may comprise performing an image analysis on the content and/or an attachment included in the content. For example, the one or more attributes may include identified person(s) in an image or video that are identified through image analysis. Determining the one or more attributes may also include performing a sentiment analysis on the content. For example, the one or more attributes may include a type of sentiment (e.g., positive or negative sentiment). The one or more attributes may also include a flag or identifier indicating a change in sentiment. For example, the content may be an email message in a chain of emails. The one or more attributes may indicate a change in sentiment from a previous message in the chain. Determining the one or more attributes may also include performing a relationship analysis on the senders and/or recipients of the content. Determining the one or more attributes may include identifying one or more keywords. Accordingly, the one or more attributes may include the identified one or more keywords, or a flag or identifier indicating the presence of one or more particular keywords. Determining the one or more attributes may also include performing an audio analysis on the content. For example, where the content is a voicemail, determining the one or more attributes may include applying a speech-to-text function to the content to generate text data. Accordingly, determining the one or more attributes may include applying a keyword analysis, sentiment analysis, or other text analysis to the text data generated from audio content.
Here, the example table includes attributes for the “Content Type,” “Sender,” and “Attachment?” indicating whether the content includes an attached file. Identifying a data structure mapping the determined one or more attributes to the coloring pattern may include identifying a matching data structure that maps each of the determined one or more attributes (e.g., an exact match). Using the example table above, if an email message is received from a supervisor with an attachment, the table entry mapped to the coloring pattern “red” would be identified. Identifying a data structure mapping the determined one or more attributes to the coloring pattern may also comprise identifying a data structure having a greatest degree of similarity to the determined one or more attributes. Identifying the data structure mapping the determined one or more attributes to the coloring pattern may also comprise determining a data structure mapping a default coloring pattern to a subset of the determined attributes (e.g., a default coloring pattern for email messages, a default coloring pattern for content received from a supervisor). The default coloring pattern may be identified in response to no data structure mapping each of the determined attributes to a coloring pattern. The default coloring pattern may also be identified as overriding (e.g., taking precedence) over the determined one or more attributes (e.g., all content received from a family member is associated with a particular coloring pattern regardless of other attributes).
For further explanation,
If there is no matching data structure that maps each of the determined one or more attributes, identifying a data structure may include identifying 606, as the identified data structure, a nearest matching data structure. The nearest matching data structure may be identified as a data structure matching a greatest number of the determined one or more attributes (e.g., having a greatest degree of similarity to the determined one or more attributes). The nearest matching data structure may also be identified based on a priority of attributes. Continuing the example of
For further explanation,
The mapping of the one or more attributes to the coloring pattern may be received as part of data received and/or installed by the mobile device 102, such as an application patch, software update, operating system update, etc. The mapping of the one or more attributes may also be received via an application program interface (API) exposed by the mobile device 102 or an application executed by the mobile device 102. The received mapping of the one or more attributes to the coloring pattern may be stored by the mobile device 102 in a data structure, e.g., a table, a database, etc.
In view of the explanations set forth above, readers will recognize that the benefits of presenting a coloring pattern by a case of a mobile device according to received content according to embodiments of the present invention include:
Exemplary embodiments of the present invention are described largely in the context of a fully functional computer system for presenting a coloring pattern by a case of a mobile device according to received content. Readers of skill in the art will recognize, however, that the present invention also may be embodied in a computer program product disposed upon computer readable storage media for use with any suitable data processing system. Such computer readable storage media may be any storage medium for machine-readable information, including magnetic media, optical media, or other suitable media. Examples of such media include magnetic disks in hard drives or diskettes, compact disks for optical drives, magnetic tape, and others as will occur to those of skill in the art. Persons skilled in the art will immediately recognize that any computer system having suitable programming means will be capable of executing the steps of the method of the invention as embodied in a computer program product. Persons skilled in the art will recognize also that, although some of the exemplary embodiments described in this specification are oriented to software installed and executing on computer hardware, nevertheless, alternative embodiments implemented as firmware or as hardware are well within the scope of the present invention.
The present invention may be a system, a method, and/or a computer program product. The computer program product may include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention.
The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.
Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.
Computer readable program instructions for carrying out operations of the present invention may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present invention.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions.
It will be understood from the foregoing description that modifications and changes may be made in various embodiments of the present invention without departing from its true spirit. The descriptions in this specification are for purposes of illustration only and are not to be construed in a limiting sense. The scope of the present invention is limited only by the language of the following claims.
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