Abstract: This disclosure provides a system by which content/service providers can enable gaze-responsive advertisement/targeted content mechanisms for CPE devices like STB's/OTT streaming devices or systems or display devices. The system creates a new opportunity for content/service providers to advertise and helps in generating revenue. The system leverages using gaze-based technology in CPE devices like STB's or large display devices. A gaze-based algorithm helps the CPE devices to locate the viewer point of attention, using which gaze-responsive advertisement/content targeting can be achieved. The disclosure provides an end to end solution—from content creation to content consumption for gaze-responsive advertisement/media delivery.

Abstract: Exemplary embodiments are directed to an inclusive video conferencing system having one or more input devices configured to receive conversational data according to a first video conferencing mode and data from a remote computing device identifying a second conferencing mode. A processing device configured to activate a video conferencing interface according to the second video conferencing mode of the remote computing device and process the conversational data for presentation in a format compatible with the second video conferencing mode. An output device configured to send the processed conversational data to the remote computing device.

Abstract: An electronic device and method that automatically adjusts an audio output volume level based on a live environmental acoustic scenario input via a microphone using a machine learning algorithm trained with Human Activity Recognition (HAR). Equipped with such an intelligence the electronic device classifies ambient sounds occurring in the environment of the listening area in which the device is situated into different acoustic scenario mappings such a voice or conversation, for an ambient human conversation detected event, and noise, such as for example a vacuum cleaner or dish washer noise detected event, and automatically adjust the audio output volume accordingly.

Abstract: A system for determining a location and an orientation of a remote control unit within a mesh network. A remote control unit (RCU) includes a top wireless orientation beacon at a first end and a bottom wireless orientation beacon at a second end. The top wireless orientation beacon and the bottom wireless orientation beacon provide location information to a controller device. A plurality of wireless mesh beacons are disposed in a predetermined area to form a mesh network, and the controller device uses the plurality of mesh beacons to generate a map of the predetermined area. The controller device processes location information obtained from the RCU to determine a position and orientation of the RCU relative to the controller device in the map of the predetermined area.

Abstract: A media device includes: a microphone for recording a television; a memory having the important content; and a processor to: instruct the microphone to record audio data while the television is operating in a primary mode and store in the memory; instruct the television to switch operation from the primary mode to an important content mode; provide the important content to the television; subsequently instruct the television to switch from the important content mode to the primary mode using a primary protocol; instruct the microphone to record subsequent audio data; determine whether the television switched from the important content mode to the primary mode based on the initial audio data and the subsequent audio data; and instruct the television to switch from the important content mode to the primary mode using a secondary protocol when it is determined that the television has not switched.

Abstract: An interface device is provided for use with a media device and a hand. The media device is configured to provide media and perform an action with reference to the media, the interface device including: a memory having instructions and a data structure stored therein including hand gesture data and an association associating the hand gesture data to the action; an imaging device configured to obtain an image of the hand and output image data based on the image of the hand; and a processor configured to execute the instructions stored on the memory to cause the interface device to: instruct the imaging device to obtain the image of the hand; obtain the image data; determine whether the image data corresponds to the hand gesture data; and generate a control signal to instruct the media device to perform the action when the image data corresponds to the hand gesture data.

Abstract: An electronic device and method that automatically adjusts an audio output volume level based on a live environmental acoustic scenario input via a microphone using a machine learning algorithm trained with Human Activity Recognition (HAR). Equipped with such an intelligence the electronic device classifies ambient sounds occurring in the environment of the listening area in which the device is situated into different acoustic scenario mappings such a voice or conversation, for an ambient human conversation detected event, and noise, such as for example a vacuum cleaner or dish washer noise detected event, and automatically adjust the audio output volume accordingly.

Abstract: An apparatus, method, and computer-readable recording medium perform client access point assignment of a network device in a wireless network. The wireless network is configured to communicatively interconnect the gateway device, one or more wireless extenders, and one or more client devices. The gateway device includes a network controller, a non-transitory memory storing a program, and a communication interface configured to establish communication connections with the one or more client devices and the one or more wireless extenders via the wireless network. The network steers for a first client device, transmits a distance query to each of the one or more wireless extenders regarding the first client, receives distance responses from each of the one or more wireless extenders regarding the first client, and prepares a candidate steering list for the first client.

Abstract: Exemplary embodiments are directed to an inclusive video conferencing system having one or more input devices configured to receive conversational data according to a first video conferencing mode and data from a remote computing device identifying a second conferencing mode. A processing device configured to activate a video conferencing interface according to the second video conferencing mode of the remote computing device and process the conversational data for presentation in a format compatible with the second video conferencing mode. An output device configured to send the processed conversational data to the remote computing device.

Abstract: An electronic device and method that automatically adjusts an audio output volume level based on a live environmental acoustic scenario input via a microphone using a machine learning algorithm trained with Human Activity Recognition (HAR). Equipped with such an intelligence the electronic device classifies ambient sounds occurring in the environment of the listening area in which the device is situated into different acoustic scenario mappings such a voice or conversation, for an ambient human conversation detected event, and noise, such as for example a vacuum cleaner or dish washer noise detected event, and automatically adjust the audio output volume accordingly.

Abstract: An electronic device and method that automatically adjusts an audio output volume level based on a live environmental acoustic scenario input via a microphone using a machine learning algorithm trained with Human Activity Recognition (HAR). Equipped with such an intelligence the electronic device classifies ambient sounds occurring in the environment of the listening area in which the device is situated into different acoustic scenario mappings such a voice or conversation, for an ambient human conversation detected event, and noise, such as for example a vacuum cleaner or dish washer noise detected event, and automatically adjust the audio output volume accordingly.

Abstract: This disclosure provides a system by which content/service providers can enable gaze-responsive advertisement/targeted content mechanisms for CPE devices like STB's/OTT streaming devices or systems or display devices. The system creates a new opportunity for content/service providers to advertise and helps in generating revenue. The system leverages using gaze-based technology in CPE devices like STB's or large display devices. A gaze-based algorithm helps the CPE devices to locate the viewer point of attention, using which gaze-responsive advertisement/content targeting can be achieved. The disclosure provides an end to end solution—from content creation to content consumption for gaze-responsive advertisement/media delivery.

Abstract: Methods, systems, and computer readable media can be operable to facilitate the detection of a closed caption standard and corresponding extraction of closed caption data according to the detected closed caption standard. A set-top box (STB) may receive content from multiple different networks and/or service providers, and closed caption data may be formatted differently in content received from the various networks and/or service providers. The STB may identify a relevant standard with which to process closed caption data in a received content stream based upon an identification of the network and/or provider from which the content stream is received, and the STB may extract and render closed caption data using a process associated with the identified network and/or provider.

Abstract: Methods, systems, and computer readable media can be operable to facilitate the detection of a closed caption standard and corresponding extraction of closed caption data according to the detected closed caption standard. A set-top box (STB) may receive content from multiple different networks and/or service providers, and closed caption data may be formatted differently in content received from the various networks and/or service providers. The STB may identify a relevant standard with which to process closed caption data in a received content stream based upon an identification of the network and/or provider from which the content stream is received, and the STB may extract and render closed caption data using a process associated with the identified network and/or provider.