Patent ID: 11928894
Assignee: ORIGIN WIRELESS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 19:
20. An apparatus for rhythmic motion monitoring in a venue where a transmitter and a receiver are located, comprising:
at least one of the transmitter and the receiver, wherein:
the transmitter is configured for transmitting a first wireless signal through a wireless multipath channel of the venue, and
the receiver is configured for receiving a second wireless signal through the wireless multipath channel, wherein
the second wireless signal differs from the first wireless signal due to the wireless multipath channel which is impacted by a rhythmic motion of an object in the venue,
the rhythmic motion comprises a gait of the object,
the object is not in line-of-sight of the transmitter,
the object is not in line-of-sight of the receiver,
the first wireless signal and the second wireless signal are WiFi signals compliant to a data communication standard comprising one of: IEEE 802.11, IEEE802.11n/ac/ax/be, or WiFi; and

a processor configured for:
obtaining a time series of channel information (CI) of the wireless multipath channel based on the second wireless signal, wherein each CI is one of: channel state information (CSI), channel frequency response (CFR), or channel impulse response (CIR),
computing a characteristic of the time series of CI (TSCI),
computing a time series of intermediate quantity (IQ) based on the characteristic of the TSCI, wherein the IQ comprises a moving speed of the object, wherein the moving speed is a gait speed of the object and is computed based on a similarity score of a respective pair of temporally adjacent CI of the TSCI,
determining a time window and a plurality of sliding sub-windows in the time window,
computing a plurality of autocorrelation functions (ACF's) of the moving speed, wherein each ACF is computed for a respective sliding sub-window in the time window,
performing peak detection on each ACF of the moving speed,
detecting the time window as a stable period based on detected peaks of the plurality of ACF's in the time window,
monitoring the rhythmic motion of the object based on analyzing the time series of IQ in the stable period to obtain gait related features, and
performing a task based on the gait related features.