Abstract: Methods, apparatus and systems for wireless motion recognition are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel that is impacted by a motion of an object in the venue. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, tracking the motion of the object based on the TSCI to generate a gesture trajectory of the object, and determining a gesture shape based on the gesture trajectory and a plurality of pre-determined gesture shapes.

Abstract: Methods, apparatus and systems for wirelessly monitoring a micro motion of an object are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel and a motion of an object in the venue.

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 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 wireless writing tracking are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal comprises a reflection of the first wireless signal by a tip of a writing instrument in the venue. The processor is configured for: obtaining a time series of channel information (CI) of the wireless multipath channel based on the second wireless signal, wherein each CI comprises at least one of: a channel state information (CSI), channel impulse response (CIR), channel frequency response (CFR), or received signal strength index (RSSI); and tracking a movement of the tip of the writing instrument based on the time series of CI (TSCI).

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 based on linkwise motion statistics (link-MS) are described.

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 wirelessly monitoring a micro motion of an object are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel and a motion of an object in the venue.

Abstract: Methods, apparatus and systems for wireless writing tracking are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal comprises a reflection of the first wireless signal by a tip of a writing instrument in the venue. The processor is configured for: obtaining a time series of channel information (CI) of the wireless multipath channel based on the second wireless signal, wherein each CI comprises at least one of: a channel state information (CSI), channel impulse response (CIR), channel frequency response (CFR), or received signal strength index (RSSI); and tracking a movement of the tip of the writing instrument based on the time series of CI (TSCI).

Abstract: Methods, apparatus and systems for wireless motion recognition are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel that is impacted by a motion of an object in the venue. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, tracking the motion of the object based on the TSCI to generate a gesture trajectory of the object, and determining a gesture shape based on the gesture trajectory and a plurality of pre-determined gesture shapes.

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 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.