Abstract: Methods, apparatus and systems for wireless monitoring and tracking are described. In one example, a described method of a wireless monitoring system comprises: transmitting a wireless signal that is impacted by a wireless multipath channel in a venue and a modulation of an object undergoing a motion in the venue, to obtain a set of channel information (CI) of the wireless multipath channel; performing a monitoring task by monitoring the object and the motion; determining a plurality of admissible system states of the wireless monitoring system, wherein each admissible system state is associated with a respective setting of at least one of: the wireless signal, a series of sounding signals in the wireless signal, or the monitoring task; choosing one of the admissible system states to be a system state of the wireless monitoring system based on the monitoring task; and applying a setting associated with the chosen admissible system state to the wireless monitoring system.

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: 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: Wireless sensing for in-vehicle child presence detection is described. In one example, a described method comprises: obtaining a time series of channel information (TSCI) of a wireless channel in a vehicle; computing a motion statistics (MS) based on channel information (CI) of the TSCI in a time period; detecting a motion of a user in the time period by comparing the motion statistics with a first threshold, wherein the motion of the user is detected when the motion statistics exceed the first threshold; constructing a 2-dimensional (2D) transform matrix based on 1-dimensional (1D) transforms of CI of TSCI in sliding time windows in the time period; detecting a number of horizontal streaks of the 2D transform matrix; detecting a breathing motion of the user in the time period based on the number of detected horizontal streaks of the 2D transform matrix and an associated criterion.

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: Methods, apparatus and systems for radio-based voice activity detection are described. In one example, a described system comprises: a transmitter configured to transmit a radio signal through a wireless channel of a venue; a receiver configured to receive the radio signal through the wireless channel, wherein the wireless channel is impacted by a voice activity of a target voice source in the venue; and a processor. The processor is configured for: computing a time series of channel information (CI) of the wireless channel based on the radio signal, and detecting the voice activity of the target voice source based on the time series of CI (TSCI) of the wireless channel, without using any media signal.

Abstract: A backlight module and a display device (01) are provided.

Abstract: Methods, apparatus and systems for wireless sensing and proximity detection are described. For example, a described method comprises: transmitting, by a first wireless device, a wireless signal through a wireless multipath channel in a venue; receiving, by a second wireless device, 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 a movement 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; computing a first motion statistics based on a time-domain correlation of channel information (CI) in the TSCI; computing a second motion statistics based on a frequency-domain correlation of the CI in the TSCI; and detecting a proximity of the object to a target in the venue based on the first motion statistics and the second motion statistics.

Abstract: Devices and associated methods for operating a dual-subscriber identity module (SIM) dual-standby (DSDS) user equipment device (UE) configured with a first SIM and a second SIM. The UE performs communications with a first cellular network using the first SIM and a first radio resource control (RRC) connection, and receives a request to perform a higher priority communication using the second SIM. In response to the request to perform the higher priority communication, the UE transmits a request to the first network to suspend the first RRC connection. After transmission of the request to suspend the first RRC connection, the UE receives a message from the first network to place the first RRC connection in an inactive state, and initiates a timer, wherein the timer is used to determine whether the first RRC connection remains in the inactive state or transitions to an idle state.

Abstract: Methods, apparatus and systems for wireless sensing based on linkwise motion statistics (link-MS) are described.

Abstract: Apparatuses, systems, and methods for a wireless device to perform substantially concurrent communications with a next generation network node and a legacy network node. The wireless device may be configured to stablish a first wireless link with a first cell according to a RAT, where the first cell operates in a first system bandwidth and establish a second wireless link with a second cell according to a RAT, where the second cell operates in a second system bandwidth. Further, the wireless device may be configured to perform uplink activity for both the first RAT and the second RAT by TDM uplink data for the first RAT and uplink data for the second RAT if uplink activity is scheduled according to both the first RAT and the second RAT.

Abstract: Methods, apparatus and systems for wireless monitoring with improved accuracy are described. In one example, a described method comprises: transmitting 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; receiving 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; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal; performing a classification of a sliding time window by analyzing channel information (CI) of the TSCI in the sliding time window; computing a motion information (MI) for the sliding time window based on the TSCI and the classification of the sliding time window; and monitoring the motion of the object based on the MI.

Abstract: Methods, apparatus and systems for map reconstruction based on wireless tracking are described. In one example, a described system comprises: a sensor configured to collect sensing data in a venue and obtain a plurality of trajectories, and a processor. Each trajectory is a time series of spatial coordinates (TSSC) representing a path traversed by a respective object in the venue. Each TSSC is accompanied by at least one respective time series of sensing data (TSSD) collected while the respective object traverses the path in the venue. The processor is configured for: segmenting each TSSC and its accompanying at least one TSSD into segments, bundling the plurality of trajectories based on similarity measures between pairs of the segments, fusing the bundled trajectories to generate fused trajectories, computing a shape of the fused trajectories, and generating a map of the venue based on the computed shape.

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: Methods, apparatus and systems for monitoring an object expression are described. In one example, a described apparatus in a venue comprises a receiver and a processor. The receiver is configured for: receiving a wireless signal from a transmitter through a wireless multipath channel that is impacted by an expression of an object in the venue, wherein the object has at least one movable part and is expressed in the expression with respect to a setup in the venue; and obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the wireless signal received by the receiver. The processor is configured for computing information associated with the object based at least partially on the TSCI obtained when the object is expressed in the expression, and performing, based on the information associated with the object, a task associated with at least one of the object and the venue.

Abstract: Methods, apparatus and systems for counting and recognizing objects or people based on rhythmic motion monitoring are described. A described method comprises: obtaining N1 time series of channel information (TSCI) of a wireless multipath channel that is impacted by a rhythmic motion of an object in a venue, wherein the N1 TSCI is extracted from a wireless signal transmitted from a transmitter to a receiver through the wireless multipath channel; decomposing each of the N1 TSCI into N2 time series of channel information components (TSCIC), wherein a channel information component (CIC) of each of the N2 TSCIC at a time comprises a respective component of a channel information (CI) of the TSCI at the time, wherein N1 and N2 are positive integers; monitoring the rhythmic motion of the object based on at least one of: the N1*N2 TSCIC and the N1 TSCI.

Abstract: Methods, apparatus and systems for correlation-based wireless monitoring are described. For example, a described method comprises: detecting and monitoring motion of a first object in a first sensing task based on a first motion information (MI) computed based on a first time series of channel information (TSCI) associated with a first device pair; detecting and monitoring motion of a second object in a second sensing task based on a second MI computed based on a second TSCI associated with a second device pair; computing a correlation score based at least partially on: the first TSCI, the second TSCI, the first MI and the second MI; detecting the first object and the second object as a same object when the correlation score is greater than a first threshold; and detecting the first object and the second object as two different objects when the correlation score is less than a second threshold.

Abstract: Methods, apparatus and systems for vehicle wireless monitoring are described. In one example, a described method comprises: transmitting a first wireless signal from a first wireless device through a wireless multipath channel of a venue, the venue comprising a vehicle and an immediate vicinity of the vehicle; receiving a second wireless signal by a second wireless device in the venue through the wireless multipath channel, wherein the second wireless signal differs from the first wireless signal due to the wireless multipath channel and a modulation by an object undergoing a motion in the venue; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal; and performing a monitoring task by monitoring, based on the TSCI, at least one of: the vehicle, the object or the motion of the object.