Abstract: In one embodiment, a method includes maintaining a video communication between two or more client devices with each client device comprising cameras and being associated with a respective video stream in the video communication, determining scene data within a field of view in a real-world environment captured by one or more of the cameras of a first client device of the two or more client devices, determining a privacy filter to apply to a first video stream associated with the first client device based on the scene data, and providing instructions to apply the privacy filter to the first video stream in the video communication.

Abstract: In one embodiment, a method includes maintaining a video communication between client devices with each being associated with a respective video stream, which is associated with a respective match scale measured based on a height of frames of the video stream and a depth of subjects within the frames, determining a respective scaling factor and cropping for each video stream, wherein the respective scaling factor is calculated based on the match scale associated with the corresponding video stream and a target match scale determined from the match scales associated with all video streams, and wherein the respective cropping is determined based on a uniformity of positions of the subjects within the frames across all video streams, generating a merged video stream from each video stream based on the respective scaling factor and cropping, and sending instructions for presenting the merged video stream to one or more of the client devices.

Abstract: An apparatus and method for a wall clock AI voice assistant, such as a computing device, is provided herein. The wall-mountable electronic clock includes an optical sensor, a microphone, a digital display and a speaker. The optical sensor captures image data representing at least a portion of a user. The microphone receives an audio input from the user when certain criteria is met, such as when the image data representing at least a portion of the user is captured. The digital display provides visual information to the user provided in response to the captured image data or the audio input. The speaker provides audio information provides from a digital voice assistant in response to the captured image data or the audio input.

Abstract: In one embodiment, a method includes, by an electronic device, receiving a digital input indicating a type of movement. Streaming sensor data corresponding to movements of a first user can be accessed from one or more sensors of one or more wearable devices on the first user. Displacement data corresponding to the movements of the first user can be generated based on the streaming sensor data and the indicated type of movement. One or more repetitions represented in one or more corresponding segments of the displacement data can be identified based on the displacement data. The displacement data corresponding to each identified repetition may substantially match a predetermined movement signature associated with the type of movement. One or more performance metrics can be calculated for one or more of the identified repetitions. Instructions can be provided for presenting a user interface including information referencing the performance metrics.

Abstract: In one embodiment, a method includes by an electronic device: receiving sensor data indicative of a touch input from one or more sensors of a touch panel of the electronic device, where the touch input occurs at a detected touch location of the touch panel, accessing a baseline of signal data corresponding to the touch panel, calculating a delta change based on the baseline of the signal data and the sensor data, determining a touch state corresponding to the touch input based on a comparison of the delta change to a plurality of touch threshold levels, selecting a touch location prediction method from a plurality of touch location prediction methods based on the touch state, and determining a predicted touch location of the touch input based on the touch location prediction method and the sensor data.

Abstract: In one embodiment, a method includes by an electronic device: receiving sensor data indicative of a touch input from sensors of a human interface-device (HID) of the electronic device, where the touch input occurs at a set of actual coordinates with respect to the HID, and where the sensor data indicates the touch input occurs at a set of detected coordinates with respect to the HID, determining a context associated with the touch input, determining, by one or more generative models, context-dependent statistics to apply a delta change to the set of detected coordinates, where the context-dependent statistics are based on the context associated with the touch input, and where the one or more generative models comprises one or more system parameters and one or more latent parameters, and determining a set of time-lapsed predicted coordinates of the touch input with respect to the HID based on the delta change.

Abstract: A drum for a combination washer dryer can include a plurality of sections. The sections can be interconnected by a plurality of flexible gaskets. The drum can be configured to expand and contract radially. The drum can radially expand to dry wet laundry during a drying phase following a washing phase in which laundry is washed.

Abstract: In one embodiment, a method includes accessing real-time content captured by a first user's client device, where the real-time content is captured at a first high quality and is one of a plurality of content frames in a real-time stream of content. The method includes downgrading the quality of the real-time content to a second lower quality for transmission to a second user and transmitting the downgraded content to the second user. The method includes determining, based on a request made by the second user, an area of interest of a subsequent real-time image, where the subsequent real-time image is at the first high quality, modifying the subsequent real-time image to focus on the area of interest, where the modified subsequent real-time image is at the first high quality, and downgrading and transmitting the modified subsequent real-time image for to the second user.

Abstract: A drum for a combination washer dryer can include a plurality of sections. The sections can be interconnected by a plurality of flexible gaskets. The drum can be configured to expand and contract radially. The drum can radially expand to dry wet laundry during a drying phase following a washing phase in which laundry is washed.

Abstract: A method by an electromagnetic device includes determining a pattern of electromagnetic energy absorbed by a load disposed inside a cavity into which electromagnetic radiation is directed and generating one or more maps of the pattern of electromagnetic energy absorbed by the load. The one or more maps comprises an indication of a distribution of heating within the load. The method further includes determining, based on the one or more maps, a plurality of sequences of operating parameter combinations configured so as to heat the load via absorption of the electromagnetic radiation in accordance with a target temperature profile with respect to the load. The method thus includes emitting electromagnetic radiation into the cavity based on the plurality of sequences of operating parameter combinations to achieve the target temperature profile with respect to the load.

Abstract: An apparatus and method for a user-aware remote control for a shared device, such as a computing device, is provided herein. The computing device includes a transceiver and a processor. The transceiver is configured to communicate with a remote control. The processor is configured to: receive, from the remote control, identification data for a user of the computing device, the identification data for the user being generated at the remote control based on biometric information associated with the user received at the remote control; identify, based on the identification data, at least one application associated with the user; retrieve, based on the identification data, personalized application information associated with the user and applicable to the at least one application; and apply the personalized application information to the at least one application.

Abstract: A method, an electronic device, and computer readable medium is provided. The method includes generating a cluster that includes at least one application. The method also includes identifying a set of features (i.e., a set of one or more features) associated with each of the at least one application included within the generated cluster. The method further includes receiving a request to modify a subset of features (i.e., a subset of one or more features) of the identified set of features. The method additionally includes modifying the subset of features associated with each of the at least one application within the generated cluster based on the received request to modify.

Abstract: The present disclosure includes methods and devices for generation and control of virtual displays in a virtual environment. A method includes receiving a trigger input from a user of a computing device, the computing device including a physical display that displays first content, initiating at least one virtual display based on the trigger input from the user, providing the at least one virtual display in association with the physical display, and displaying second content via the at least one virtual display in association with the first content displayed via the physical display.

Abstract: The present disclosure includes methods and devices for generation and control of virtual displays in a virtual environment. A method includes receiving a trigger input from a user of a computing device, the computing device including a physical display that displays first content, initiating at least one virtual display based on the trigger input from the user, providing the at least one virtual display in association with the physical display, and displaying second content via the at least one virtual display in association with the first content displayed via the physical display.

Abstract: An apparatus and method for a wall clock AI voice assistant, such as a computing device, is provided herein. The wall-mountable electronic clock includes an optical sensor, a microphone, a digital display and a speaker. The optical sensor captures image data representing at least a portion of a user. The microphone receives an audio input from the user when certain criteria is met, such as when the image data representing at least a portion of the user is captured. The digital display provides visual information to the user provided in response to the captured image data or the audio input. The speaker provides audio information provides from a digital voice assistant in response to the captured image data or the audio input.

Abstract: An apparatus and method for a user-aware remote control for a shared device, such as a computing device, is provided herein. The computing device includes a transceiver and a processor. The transceiver is configured to communicate with a remote control. The processor is configured to: receive, from the remote control, identification data for a user of the computing device, the identification data for the user being generated at the remote control based on biometric information associated with the user received at the remote control; identify, based on the identification data, at least one application associated with the user; retrieve, based on the identification data, personalized application information associated with the user and applicable to the at least one application; and apply the personalized application information to the at least one application.

Abstract: A method, an electronic device, and computer readable medium is provided. The method includes generating a cluster that includes at least one application. The method also includes identifying a set of features (i.e., a set of one or more features) associated with each of the at least one application included within the generated cluster. The method further includes receiving a request to modify a subset of features (i.e., a subset of one or more features) of the identified set of features. The method additionally includes modifying the subset of features associated with each of the at least one application within the generated cluster based on the received request to modify.