Abstract: In example implementations, a method is provided. The method may be executed by a processor. The method includes receiving an image. The image is analyzed to obtain facial features. Contextual information is obtained and a vector including a facial feature class of the facial features and contextual feature classes of the contextual information is generated. A facial recognition is then performed based on the vector.

Abstract: An example of a computer-readable medium storing machine-readable instructions. When executed, the instructions may cause detection of an access to a resource with a privacy setting. The instructions may cause the modification of the privacy setting to a new value.

Abstract: Example implementations relate to generating content based on policy permissions. For example, a non-transitory machine-readable medium including instructions executable by a processor to detect a plurality of audio profiles based on audio signals received, separate the plurality of audio profiles, determine when an audio profile of the plurality of audio profiles corresponds to a policy permission; and generate content for the audio profile based on the policy permission.

Abstract: A transmission of a representation of an endpoint is disclosed. A performance of a source media is detected in a transmission of the representation of the endpoint. The detected performance of the source media is replaced with the source media in the image during transmission.

Abstract: A customizable work station is described with a computing device that has a local processor, a local display, a connector communicably coupled to the local processor, and a plurality of sensors that collect proximal information at the station to provide at least one personalized enhancement to a user of the station.

Abstract: In example implementations, a method is provided. The method may be executed by a processor of a security system. The method includes detecting a robot. The robot may then be validated. The response of the security system may be modified in response to the robot that is detected and validated.

Abstract: Examples disclosed herein related to selecting a telepresence device action. In one implementation, an electronic device determines a non-verbal characteristic of a communication of a first user intended for a second user at a remote location. The electronic device may determine a characteristic of the second user and select a delivery action based on a translation of the non-verbal characteristic to the second user based on the characteristic of the second user. The electronic device may transmit information about the selected delivery action to an electronic device to cause the electronic device to perform the selected action to provide the communication to the second user.

Abstract: A technique includes sensing a wireless charging station that includes a wireless charging transmitter and determining a status for the machine based at least in part on the sensing of the wireless charging station. The technique also includes assisting with a process to wirelessly transfer power to the machine, where assisting includes causing the machine to provide guidance to the user based at least in part on the determined status.

Abstract: A transmission of a representation of an endpoint is disclosed. A performance of a source media is detected in a transmission of the representation of the endpoint. The detected performance of the source media is replaced with the source media in the image during transmission.

Abstract: In example implementations, a method is provided. The method may be executed by a processor. The method includes receiving an image. The image is analyzed to obtain facial features. Contextual information is obtained and a vector including a facial feature class of the facial features and contextual feature classes of the contextual information is generated. A facial recognition is then performed based on the vector.

Abstract: In example implementations, a method is provided. The method may be executed by a processor of a security system. The method includes detecting a robot. The robot may then be validated. The response of the security system may be modified in response to the robot that is detected and validated.

Abstract: An example display device includes an input module to receive a touch input that identifies a shape of an electronic device. The display device also includes a display panel. The display panel is to display first data from a computing device in a first region of the display panel. The display panel is also to, in response to a reception of the touch input, display the first data in a second region of the display panel and display second data from the electronic device in a virtual representation of the electronic device in a third region of the display panel. The third region corresponds to the shape of the electronic device. The second data is received via a connection to the computing device. The second region is smaller than the first region.

Abstract: Examples disclosed herein relate to a conference call host. Examples include to establishing, by a first computing system, a first secure connection to a second computing system via a wireless network in response to receiving a secure connection request from the second computing system; the first computing system and the second computing system are in physical proximity to each other. Examples include to provide an operating system session to the second computing system through the secure connection while the first computing system and the second computing system remain in physical proximity to each other; the operating system is stored on and executable by the first computing system. Examples include to provide a connection to a conferencing platform to the second computing system via the first secure connection, the conference call at least among the first computing system, the second computing system, and a remote user.

Abstract: Examples disclosed herein provide the ability to identify the location of an individual within a room by using a combination of microphone arrays and voice pattern matching. In one example, a computing device may extract a voice detected by microphones of a microphone array located in a room, perform voice pattern matching to identify an individual associated with the extracted voice, and determine a location of the individual in the room based on an intensity of the voice detected individually by the microphones of the microphone array.

Abstract: An example display device includes an input module to receive a touch input that identifies a shape of an electronic device. The display device also includes a display panel. The display panel is to display first data from a computing device in a first region of the display panel. The display panel is also to, in response to a reception of the touch input, display the first data in a second region of the display panel and display second data from the electronic device in a virtual representation of the electronic device in a third region of the display panel. The third region corresponds to the shape of the electronic device. The second data is received via a connection to the computing device. The second region is smaller than the first region.

Abstract: Examples are directed to a gaze detector using reference frames in media. One example includes inserting reference frames between frames of media presented on a display at a first frequency, analyzing images of reflections of the reference frames, and determining a portion of the media that is being viewed by a user based on the reflections of the reference frames from a user.

Abstract: Examples disclosed herein provide the ability to identify the location of an individual within a room by using a combination of microphone arrays and voice pattern matching. In one example, a computing device may extract a voice detected by microphones of a microphone array located in a room, perform voice pattern matching to identify an individual associated with the extracted voice, and determine a location of the individual in the room based on an intensity of the voice detected individually by the microphones of the microphone array.

Abstract: A technique includes sensing a wireless charging station that includes a wireless charging transmitter and determining a status for the machine based at least in part on the sensing of the wireless charging station. The technique also includes assisting with a process to wirelessly transfer power to the machine, where assisting includes causing the machine to provide guidance to the user based at least in part on the determined status.

Abstract: Examples disclosed herein relate to a conference call host. Examples include to establishing, by a first computing system, a first secure connection to a second computing system via a wireless network in response to receiving a secure connection request from the second computing system; the first computing system and the second computing system are in physical proximity to each other. Examples include to provide an operating system session to the second computing system through the secure connection while the first computing system and the second computing system remain in physical proximity to each other; the operating system is stored on and executable by the first computing system. Examples include to provide a connection to a conferencing platform to the second computing system via the first secure connection, the conference call at least among the first computing system, the second computing system, and a remote user.

Abstract: Examples are directed to a gaze detector using reference frames in media, One example includes inserting reference frames between frames of media presented on a display at a first frequency, analyzing images of reflections of the reference frames, and determining a portion of the media that is being viewed by a user based on the reflections of the reference frames from a user.