Abstract: An apparatus detects and measures vital signs of each human target by a continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans are living in a home. The apparatus has a natural convection spatial flow path that draws heat from at least one processor, one fan-less radar and a heat sink.

Abstract: In an example, the present technique includes a method for capturing information from a spatial region to monitor human activities and create a spatial map of the spatial region. In an example, the technique allows a user of a cell phone to move from one location to another location and be tracked using rf backscattering, and each location being identified by the user by communicating a label via a cell phone or other mobile device.

Abstract: The disclosed embodiments enable converting audio signals captured in various formats by various capture devices into a limited number of formats that can be processed by an audio codec (e.g., an Immersive Voice and Audio Services (IVAS) codec). In an embodiment, a simplification unit of the audio device receives an audio signal captured by one or more audio capture devices coupled to the audio device. The simplification unit determines whether the audio signal is in a format that is supported/not supported by an encoding unit of the audio device. Based on the determining, the simplification unit, converts the audio signal into a format that is supported by the encoding unit. In an embodiment, if the simplification unit determines that the audio signal is in a spatial format, the simplification unit can convert the audio signal into a spatial “mezzanine” format supported by the encoding.

Abstract: An apparatus detects and measures vital signs of each human target by a continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans are living in a home. The apparatus has a natural convection spatial flow path that draws heat from at least one processor, one fan-less radar and a heat sink.

Abstract: In an example, the present technique provides a method for processing signals from a human user in connection with a sleep state. Preferably, the method includes using information from the signals for digital cognitive behavioral therapy to improve a sleep state of the human user. In an example, the method generally includes sensing of human activities, processing information from such sensing, outputting a task to the user, monitoring a reaction from the user, and adjusting any one of the aforementioned, to improve a sleep state of the user.

Abstract: Systems and methods for providing forward error correction for a multi-channel audio signal are described. Blocks of an audio stream are buffered into a frame. A transformation can be applied that compacts the energy of each block into a plurality of transformed channels. The energy compaction transform may compact the most energy of a block into the first transformed channel and to compact decreasing amounts of energy into each subsequent transformed channel. The transformed frame may be encoded using any suitable codec and transmitted in a packet over a network. Improved forward error correction may be provided by attaching a low bit rate encoding of the first transformed channel to a subsequent packet. To reconstruct a lost packet, the low bit rate encoding of the first channel for the lost packet may be combined with a packet loss concealment version of the other channels, constructed from a previously-received packet.

Abstract: In an example, the present technique includes a method for capturing information from a spatial region to monitor human activities and create a spatial map of the spatial region. In an example, the technique allows a user of a cell phone to move from one location to another location and be tracked using rf backscattering, and each location being identified by the user by communicating a label via a cell phone or other mobile device.

Abstract: A method for a computing system includes beaming with a radar emitter from a central hub, a plurality of radar signals into an interior room, receiving with a radar receiver within the central hub, a plurality of radar reflections in response to the plurality of radar signals, processing with a processor within the central hub, the plurality of radar reflections to form a plurality of processed radar signals, determining with an AI processor within the central hub, at least one activity from a plurality of activities in response to the plurality of processed radar signals, and determining with a central processing unit within the central hub, a notification action to perform in response to the one or more activities.

Abstract: The disclosed embodiments enable converting audio signals captured in various formats by various capture devices into a limited number of formats that can be processed by an audio codec (e.g., an Immersive Voice and Audio Services (IVAS) codec). In an embodiment, a simplification unit of the audio device receives an audio signal captured by one or more audio capture devices coupled to the audio device. The simplification unit determines whether the audio signal is in a format that is supported/not supported by an encoding unit of the audio device. Based on the determining, the simplification unit, converts the audio signal into a format that is supported by the encoding unit. In an embodiment, if the simplification unit determines that the audio signal is in a spatial format, the simplification unit can convert the audio signal into a spatial “mezzanine” format supported by the encoding.

Abstract: In an example, the present invention provides a method for identifying a status of a user and providing feedback to the user based upon the status of the user. In an example, the method includes generating an electromagnetic radio frequency (RF) signal from an RF generating device and emitting the electromagnetic RF signal into a spatial region of a user. In an example, the method includes detecting a back scattered RF signal, using an RF receiving antenna, from the user and converting the back scattered RF signal from an RF analog signal into an RF digital signal.

Abstract: In an example, the present technique provides a method for processing signals from a human user in connection with a sleep state. Preferably, the method includes using information from the signals for digital cognitive behavioral therapy to improve a sleep state of the human user. In an example, the method generally includes sensing of human activities, processing information from such sensing, outputting a task to the user, monitoring a reaction from the user, and adjusting any one of the aforementioned, to improve a sleep state of the user.

Abstract: A method for a computing system includes beaming with a radar emitter from a central hub, a plurality of radar signals into an interior room, receiving with a radar receiver within the central hub, a plurality of radar reflections in response to the plurality of radar signals, processing with a processor within the central hub, the plurality of radar reflections to form a plurality of processed radar signals, determining with an AI processor within the central hub, at least one activity from a plurality of activities in response to the plurality of processed radar signals, and determining with a central processing unit within the central hub, a notification action to perform in response to the one or more activities.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.

Abstract: In an example, the present invention provides a method for identifying a status of a user and providing feedback to the user based upon the status of the user. In an example, the method includes generating an electromagnetic radio frequency (RF) signal from an RF generating device and emitting the electromagnetic RF signal into a spatial region of a user. In an example, the method includes detecting a back scattered RF signal, using an RF receiving antenna, from the user and converting the back scattered RF signal from an RF analog signal into an RF digital signal.

Abstract: Embodiments are disclosed for spatial noise filling in multi-channel codecs. In an embodiment, a method of regenerating background noise ambience in a multi-channel codec by generating spatial hole filling noise comprises: computing noise estimates based on a primary downmix channel generated from an input audio signal representing a spatial audio scene with background noise ambience; computing spectral shaping filter coefficients based on the noise estimates; spectrally shaping the multi-channel noise signal using the spectral shaping filter coefficients and a noise distribution, the spectral shaping resulting in a diffused, multi-channel noise signal with uncorrelated channels; spatially shaping the diffused, uncorrelated multi-channel noise signal with uncorrelated channels based on a noise ambience of the spatial audio scene; and adding the spatially and spectrally shaped multi-channel noise to a multi-channel codec output to synthesize the background noise ambience of the spatial audio scene.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.

Abstract: The present document describes a method (700) for encoding a multi-channel input signal (201). The method (700) comprises determining (701) a plurality of downmix channel signals (203) from the multi-channel input signal (201) and performing (702) energy compaction of the plurality of downmix channel signals (203) to provide a plurality of compacted channel signals (404). Furthermore, the method (700) comprises determining (703) joint coding metadata (205) based on the plurality of compacted channel signals (404) and based on the multi-channel input signal (201), wherein the joint coding metadata (205) is such that it allows upmixing of the plurality of compacted channel signals (404) to an approximation of the multi-channel input signal (201). In addition, the method (700) comprises encoding (704) the plurality of compacted channel signals (404) and the joint coding metadata (205).

Abstract: In an example, the technique also detects and measures vital signs of each human target by continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans living in a home. Of course, there can be other variations, modifications, and alternatives.

Abstract: In an example, the present technique includes a method for capturing information from a spatial region to monitor human activities and create a spatial map of the spatial region. In an example, the technique allows a user of a cell phone to move from one location to another location and be tracked using rf backscattering, and each location being identified by the user by communicating a label via a cell phone or other mobile device.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.