Abstract: Methods, apparatus and systems for wireless sensing based on channel information are described. In one example, a described system comprises: a transmitter configured to transmit a wireless signal through a wireless multipath channel of a venue, wherein the wireless multipath channel is impacted by a motion of an object in the venue; a receiver configured to receive the wireless signal through the wireless multipath channel, wherein the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel and the motion of the object; and a processor. The processor is configured for: obtaining N1 time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal, computing N4 selected projections based on the N1 TSCI, and performing a sensing task associated with the motion of the object based on the N4 selected projections. N4 is a positive integer. N1=N2*N3. N2 is a quantity of transmit antennas on the transmitter.

Abstract: Methods, apparatus and systems for wireless sensing are described. An example method comprises: transmitting a sensing measurement setup request to a first sensing responder device and a second sensing responder device; configuring, via the sensing measurement setup request, the first sensing responder device to function as a sensing transmitter for a sensing session; configuring, via the sensing measurement setup request, the second sensing responder device to function as a sensing receiver for the sensing session; transmitting a frame to the first sensing responder device to cause the first sensing responder device to transmit a wireless sounding signal directly to the second sensing responder device; and receiving a sensing measurement report from the second sensing responder device. The sensing measurement report comprises channel information (CI) derived from the wireless sounding signal received by the second sensing responder device from the first sensing responder device.

Abstract: Wireless sensing using measurement enhancement is described. In one example, a described method comprises: receiving a wireless signal transmitted by a transmitter through a wireless multipath channel of a venue, wherein the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel and a motion of an object in the venue; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal, wherein each channel information (CI) comprises N1 CI components (CIC); for each respective CI having N1 CIC of the TSCI, computing a respective enhanced CI (ECI) having N2 CIC; computing a motion information (MI) based on the ECI of the TSCI; and performing a sensing task based on the MI.

Abstract: Methods, apparatus and systems for device identification and qualification for wireless sensing are described. In one example, a described system comprises: a transmitter configured to transmit a wireless signal through a wireless multipath channel of a venue, wherein the wireless multipath channel is impacted by a movement of an object in the venue; a receiver configured to receive the wireless signal through the wireless multipath channel, wherein the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel and the movement of the object; and a processor. The processor is configured for: obtaining a number of time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal, computing a time series of motion analytics (TSMA) based on the number of TSCI, computing an information of a target device based on the TSMA.

Abstract: High resolution human imaging using neural network is described. In one example, a described method comprises: assembling a k1-dimensional (k1-D) imaging matrix by a processor based on arranging and concatenating a plurality of k2-dimensional (k2-D) input imaging matrices; encoding the k1-D imaging matrix by an encoder, which is a k1-D encoding neural network, to generate a (k1+k3)-D first intermediate matrix; generating a (k2+k3)-D second intermediate matrix based on the (k1+k3)-D first intermediate matrix; and decoding the (k2+k3)-D second intermediate matrix by a decoder, which is a k2-D decoding neural network, to generate a k2-D output imaging matrix. There is at least one skip connection between the encoder and the decoder. An imaging resolution of the k2-D output imaging matrix is greater than the imaging resolution of any one of the plurality of k2-D input imaging matrices.

Abstract: Methods, apparatus and systems for wireless monitoring for motion detection and localization are described. In one example, a described system comprises: Type 1 devices; Type 2 devices; and a processor. Each Type 2 device is configured for: asynchronously receiving, from each of a respective subset of Type 1 devices associated with the Type 2 device, a respective wireless signal through a respective wireless multipath channel impacted by a motion of an object in a venue; asynchronously receiving, from each of a subset of a respective set of at least one other Type 2 device interconnected wirelessly with the Type 2 device, a respective wireless signal through a respective wireless multipath channel impacted by the motion of the object; and obtaining a set of asynchronous time series of channel information (ATSCI), wherein each ATSCI is associated with a respective wireless multipath channel and is obtained based on the asynchronously received respective wireless signal.

Abstract: Methods, apparatus and systems for powering a wireless monitoring system are described. In one example, a described method comprises: positioning and powering a transmitter at a first location in a venue; positioning and powering a receiver at a second location in the venue; transmitting a wireless signal from the transmitter through a wireless multipath channel of the venue; receiving the wireless signal by the receiver through the wireless multipath channel, wherein the wireless signal is impacted by the wireless multipath channel and a modulation of an object undergoing a motion in the venue; obtaining a set of channel information (CI) of the wireless multipath channel based on the wireless signal; and monitoring the object and the motion of the object based on the set of CI.

Abstract: Methods, apparatus and systems for wireless sensing are described. In one example, a described system in a wireless data communication network comprises: a transmitter configured to transmit a time series of at least one wireless sounding signal (WSS) based on a standard wireless network protocol associated with the wireless data communication network, and a receiver. The wireless data communication network comprises a physical (PHY) layer, a medium access control (MAC) layer, and at least one higher layer. The receiver is configured to: receive the time series of at least one WSS (TSWSS) based on the standard wireless network protocol through a wireless channel of a venue, and perform a plurality of wireless sensing measurements based on the received TSWSS to obtain sensing measurement results based on the standard wireless network protocol.

Abstract: Aspects of the disclosure include foundational generative pre-trained transformer (GPT) models with time-preserving encodings and methods of using the same. A method includes assigning a token to each activity of a plurality of activities and collecting, for each entity of a plurality of entities, a sequence of activities. Time-preserving encodings are applied to the collected sequences of activities. A training set including sequences of tokens and the time-preserving encodings is created, each sequence of tokens corresponding to a respective sequence of activities for an entity. A foundational GPT model is trained, using the training set, to generate an activity sequence embedding. During training, the positional encodings preserve a relative order of the input sequence of tokens and an amount of time between each input token in the input sequence of tokens.

Abstract: Methods, apparatus and systems for wireless sensing are described. In one example, a described system in a wireless data communication network comprises: a transmitter configured to transmit a time series of at least one wireless sounding signal (WSS) based on a standard wireless network protocol associated with the wireless data communication network, and a receiver. The wireless data communication network comprises a physical (PHY) layer, a medium access control (MAC) layer, and at least one higher layer. The receiver is configured to: receive the time series of at least one WSS (TSWSS) based on the standard wireless network protocol through a wireless channel of a venue, and perform a plurality of wireless sensing measurements based on the received TSWSS to obtain sensing measurement results based on the standard wireless network protocol.

Abstract: Methods, apparatus and systems for wireless sensing are described. In one example, a described system in a wireless data communication network comprises: a transmitter configured to transmit a time series of at least one wireless sounding signal (WSS) based on a standard wireless network protocol associated with the wireless data communication network, and a receiver. The wireless data communication network comprises a physical (PHY) layer, a medium access control (MAC) layer, and at least one higher layer. The receiver is configured to: receive the time series of at least one WSS (TSWSS) based on the standard wireless network protocol through a wireless channel of a venue, and perform a plurality of wireless sensing measurements based on the received TSWSS to obtain sensing measurement results based on the standard wireless network protocol.

Abstract: A display module includes: a supporting intermediate frame and a transparent cover plate, wherein the supporting intermediate frame comprises a main plate portion extending in a direction the same as the transparent cover plate and a supporting lateral edge disposed to surround the main plate portion, and the supporting intermediate frame and the transparent cover plate form a first accommodation space; a display unit disposed in the first accommodation space; and a control board disposed at a side of the main plate portion away from the display unit, wherein the control board is electrically connected to the display unit to transmit a display signal to the display unit; wherein the supporting intermediate frame further has at least one fixing portion disposed at a side of the main plate portion away from the display unit for fixing the control board.

Abstract: Examples for wireless based occupancy detection are described.

Abstract: Examples for performing wireless tracking are described.

Abstract: A backlight module and a display device are provided. In the backlight module, the middle frame includes a connecting portion covering the side wall and located at an end of the side wall away from the bottom wall, a surface of the connecting portion facing the optical sheet is provided with a plurality of supporting portions configured to support the optical sheet, and the plurality of supporting portions are arranged at intervals, a gap is provided between the optical sheet and a surface of a part of the middle frame facing the optical sheet and located between adjacent supporting portions.

Abstract: The present disclosure provides a display module having: a supporting intermediate frame and a transparent cover plate, wherein the supporting intermediate frame comprises a main plate portion extending in a direction the same as the transparent cover plate and a supporting lateral edge disposed to surround the main plate portion, and the supporting intermediate frame and the transparent cover plate form a first accommodation space; a display unit disposed in the first accommodation space; and a control board disposed at a side of the main plate portion away from the display unit, wherein the control board is electrically connected to the display unit to transmit a display signal to the display unit; wherein the supporting intermediate frame further has at least one fixing portion disposed at a side of the main plate portion away from the display unit for fixing the control board.

Abstract: Apparatuses, systems, and methods for a wireless device to perform beam management procedures with a base station. A wireless device in communication with a 5G base station may perform measurements and determine constraints relevant to beam selection. The device may select a recommended beam based on the measurements and constraint(s) and indicate the recommended beam to the base station. A recommended uplink beam may not correspond to a recommended downlink beam.

Abstract: Wireless sensing using classifier probing and refinement is described. In one example, a described method comprises: computing output analytics by a classifier based on input data constructed based on raw measurement data; mapping each output analytics to a respective mapped outcome; identifying at least one reference input data each associated with a reference output analytics and a reference mapped outcome; each reference input data being one of the input data for the classifier for which a respective reference outcome is available and is different from the reference mapped outcome; and for each reference input data for the classifier: computing a respective plurality of perturbed output analytics by the classifier, generating selected perturbed input data based on the plurality of perturbed output analytics; and re-training the classifier based on the selected perturbed input data and the associated reference outcome.

Abstract: Examples for performing wireless sensing tasks based on foundation model are described. In one example, a described method comprises: obtaining channel information (CI) data generated based on at least one wireless channel; generating a training dataset based on the CI data, wherein the training dataset comprises: a plurality of CI pairs, original CI data and a mask; training a foundation model using the training dataset based on an aggregate of a contrastive loss function and a reconstruction loss function; training a plurality of task-specific models; and performing a plurality of wireless sensing tasks based on the foundation model and the plurality of task-specific models. Each of the plurality of task-specific models is used to perform a corresponding one of the plurality of wireless sensing tasks together with the foundation model.

Abstract: Methods, apparatus and systems for wireless sensing are described. In one example, a described system in a wireless data communication network comprises: a transmitter configured to transmit a time series of at least one wireless sounding signal (WSS) based on a standard wireless network protocol associated with the wireless data communication network, and a receiver. The wireless data communication network comprises a physical (PHY) layer, a medium access control (MAC) layer, and at least one higher layer. The receiver is configured to: receive the time series of at least one WSS (TSWSS) based on the standard wireless network protocol through a wireless channel of a venue, and perform a plurality of wireless sensing measurements based on the received TSWSS to obtain sensing measurement results based on the standard wireless network protocol.