Abstract: An electronic device includes a physical user interface, a wireless communication device, and one or more processors. The one or more processors identify one or more external electronic devices operating within an environment of the electronic device. The one or more processors cause the wireless communication device to transmit content and one or more control commands causing an external electronic device to present a graphical user interface depicting the physical user interface of the electronic device. The wireless communication device then receives one or more other control commands identifying user inputs interacting with the graphical user interface at the external electronic device. The one or more processors perform one or more control operations in response to the one or more other control commands.

Abstract: An electronic device includes a user interface, a wireless communication device, and one or more processors. The wireless communication device establishes a paired communication connection with at least one companion electronic device. The wireless communication device receives one or more electronic communications from the at least one companion electronic device. The one or more processors determine, from the one or more electronic communications, whether an environment of the electronic device is a public environment or a private environment. Where the environment is the private environment, the one or more processors cause the user interface of the electronic device to enter a normal mode of operation. Where the environment is the public environment, the one or more processors cause the user interface of the electronic device to enter a privacy mode of operation.

Abstract: An electronic device includes a user interface. The user interface can include a display. One or more sensors, which may include an imager, can be included as well. One or more processors are operable with the user interface and the one or more sensors. The one or more processors determine, from signals from the one or more sensors, whether one or more persons are within a predefined environment of the electronic device. Where only one person is within the predefined environment, the one or more processors request entry of a user authentication code at the user interface to authenticate the one person as an authorized user of the electronic device. However, where two or more persons are within the predefined environment, the one or more processors preclude entry of the user authentication code at the user interface. This prevents nefarious actors from seeing entry of the user authentication code.

Abstract: A method includes receiving a voice input via a microphone of an electronic device, and determining whether the voice input contains speech from an authorized user of the electronic device or speech from an unauthorized user. The method includes in response to determining that the voice input contains speech from the authorized user: determining whether the speech contains private speech or public speech; in response to determining that the speech contains private speech, processing the voice input through a local automatic speech recognition (ASR) engine within the electronic device, the local ASR engine converting the voice input from audio format to text format and outputting a text transcription of the private speech; and in response to determining that the speech does not contain private speech, forwarding the voice input through a communication interface associated with a network-connected external device for processing the voice input at the network-connected external device.

Abstract: A method in an electronic device includes receiving, with an audio input device, audio input from a source. The method estimates, with one or more processors operable with the audio input device, a sound pressure level of the audio input when emanating from the source. The method adjusts, with the one or more processors, an audio output sound pressure level of an audio output device to mimic the sound pressure level of the audio input when emanating from the source, and outputs audio output at the audio output sound pressure level in response to receiving the audio input from the source.

Abstract: An electronic device includes a user interface. The user interface can receive a single command to capture an image. An imager of the electronic device can capture at least the image in response to the single command to capture the image. One or more sensors of the electronic device can determine contextual input from an environment of the electronic device while the imager captures the image. One or more processors of the electronic device can then augment the image with a visible representation of the contextual input to create a single, still, augmented image.

Abstract: A method and data processing device for receiving, at a data processor, data that includes at least one personalized phrase. The method includes extracting a personalized phrase from received data. The method includes tracking, via an assigned phrase counter, each occurrence of the personalized phrase in the received data and subsequently received data. The method includes periodically comparing a value of the assigned phrase counter to pre-established count thresholds to determine when a count of the personalized phrase reaches at least one of the pre-established count thresholds. The method includes storing the personalized phrase to a phrase database and linking the personalized phrase to the one or more general phrases in the phrase database. The method includes selectively triggering a contextual response to the data and executing, by the data processor, the corresponding operation. The method includes outputting the contextual response to an output device.

Abstract: A method includes detecting, by sensors, a current context associated with an electronic device. The method includes dynamically loading a neural network and selected features into a phrase-spotting audio front-end (AFE) processor. The neural network is configured, based on the current context, with at least one domain having an associated set(s) of trigger words. The method includes detecting, audio content that matches a trigger word from among the sets of trigger words associated with the at least one selected domain. The method includes in response to detecting audio content that matches the trigger word, outputting a wake-up signal to an application processor (AP). The AFE processor utilizes less computational resources than the AP. The method includes, in response to receiving the wake-up signal, the AP waking up and performing additional computation based on the matching trigger word. The method includes outputting results of the additional computation to an output device.

Abstract: An incoming communication can be received. A decision can be made that a short-range wireless communication transceiver is coupled to a plurality of short-range wireless communication audio output devices. The short-range wireless communication audio output devices can include a first short-range wireless communication audio output device and a second short-range wireless communication audio output device. A determination can be made as to which of the first short-range wireless communication audio output device, the second short-range wireless communication audio output device, or both short-range wireless communication audio output devices a notification of the incoming communication should be sent to based on the short-range wireless communication transceiver being coupled to the plurality of short-range wireless communication audio output devices. The notification can be sent to the determined short-range wireless communication audio output device or devices.

Abstract: An electronic device includes a user interface device and a wireless transceiver that scans for a wearable device within a threshold distance of the electronic device. The wearable device has an access key. A memory of the electronic device contains: (i) an access data structure; (ii) protected content; and (iii) an access application. A controller of the electronic device is communicatively coupled to the user interface device, the wireless receiver, and the memory. The controller executes the access application to enable the electronic device to determine whether the access key of a detected wearable device maps to a record in the access data structure identifying privileges associated with the protected content of the electronic device. Privileged interaction is enabled, via the user interface device, with the protected content in response to determining that the access key maps to the record having the privileges.

Abstract: An electronic device includes a touch-sensitive display, one or more processors, and one or more motion sensors. The touch-sensitive display detects touch input at a surface of the touch-sensitive display, with the touch input identifying a user input command requesting performance of a control operation. The one or more motion sensors determine whether the electronic device moves in three-dimensional space while the touch input is occurring. The one or more processors preclude execution of the control operation in response to the touch input where the electronic device moved in the three-dimensional space while the touch input was occurring, thereby preventing control operations in response to inadvertent touching when the electronic device is being picked up or moved.

Abstract: Systems and methods for providing user state-based learning reinforcements via a mobile electronic communications device include receiving an initiation command that identifies learning reinforcement material, identifying a sleep state of the user and providing the learning reinforcement material to the user when the sleep state of the user is a light sleep state. The learning reinforcement material is no longer played to the user when the user's sleep state becomes a state other than the light sleep state.

Abstract: Systems and methods for managing power and data usage in a mobile electronic communications device entail detecting a sleep state of a user of the device, and entering an idle mode when the sleep state of the user is deep sleep, wherein the idle mode restricts device CPU and network activities to exclude user-centric operations. When the sleep state of the user changes from the deep sleep state, the device exits the idle mode and enters an operative state to execute any pending user-centric operations.

Abstract: Systems and methods for authenticating a user of a mobile electronic device to use a FIDO (fast identification online) compliant application in the device are provided. These entail receiving a user authentication input at the mobile electronic device and caching the authentication input. While the authentication input remains cached, the user is authenticated to use the mobile electronic device via the authentication input. The mobile electronic device is then unlocked and the FIDO compliant application is opened. Secure delayed FIDO authentication is then executed by providing the cached authentication input to the FIDO compliant application to open an authenticated session of the user on the FIDO compliant application.

Abstract: An electronic device includes one or more sensors and one or more processors. The one or more sensors receive a first audio input defining a process initiation command and initiate, in response to the process initiation command, a process. Thereafter, the one or more sensors receive a second audio input defining a process cessation command. The one or more processors determine whether one or more substantially matching audio characteristics are present in both the first audio input and the second audio input. Where they are absent from one of the first audio input or the second audio input, the one or more processors ignore the process cessation command and continuing the process. Where they are present, the one or more processors cease the process in response to the process cessation command.

Abstract: An electronic device includes an audio synthesizer. The audio synthesizer can generate a voice-synthesized audio output stream as a function of one or more audible characteristics extracted from voice input received from an authorized user of the electronic device. The audio synthesizer can also apply an acoustic watermark to the voice-synthesized audio output stream, the acoustic watermark indicating that the voice-synthesized audio output stream is machine made.

Abstract: An electronic device includes an audio synthesizer. The audio synthesizer can generate a voice-synthesized audio output stream as a function of one or more audible characteristics extracted from voice input received from an authorized user of the electronic device. The audio synthesizer can also apply an acoustic watermark to the voice-synthesized audio output stream, the acoustic watermark indicating that the voice-synthesized audio output stream is machine made.

Abstract: A method, and corresponding electronic device, receives, at a user interface of the electronic device, a command to capture one or more images. An imager of the electronic device initiates capturing the one or more images. One or more sensors of the electronic device, optionally in conjunction with one or more processors, identify a source of the command to capture the one or more images. The one or more processors can then apply a digital data identifier to the one or more images, the digital data identifier identifying the source of the command to capture the one or more images.

Abstract: An Internet-of-things device can detect, using one or more sensors, a condition exceeding a predefined condition threshold. If the condition is occurring at a location outside of an area monitored by the sensors of the Internet-of-things device, a communication device can transmit an investigation request to an unmanned aircraft. The investigation request can include a request to monitor an environment at the location. The Internet-of-things device can then receive an event report identifying whether a class of event is or was occurring at the location from the unmanned aircraft. The event report can include one or more event labels. The Internet-of-things device can transform, with an artificial intelligence engine, the one or more event labels into machine learned knowledge in an Internet-of-things knowledge domain.

Abstract: A method includes detecting, by sensors, a current context associated with an electronic device. The method includes dynamically loading a neural network and selected features into a phrase-spotting audio front-end (AFE) processor. The neural network is configured, based on the current context, with at least one domain having an associated set(s) of trigger words. The method includes detecting, audio content that matches a trigger word from among the sets of trigger words associated with the at least one selected domain. The method includes in response to detecting audio content that matches the trigger word, outputting a wake-up signal to an application processor (AP). The AFE processor utilizes less computational resources than the AP. The method includes, in response to receiving the wake-up signal, the AP waking up and performing additional computation based on the matching trigger word. The method includes outputting results of the additional computation to an output device.