US Patent Application 17659602. RF-SENSING-BASED HUMAN IDENTIFICATION USING COMBINED GAIT AND SHAPE RECOGNITION simplified abstract
RF-SENSING-BASED HUMAN IDENTIFICATION USING COMBINED GAIT AND SHAPE RECOGNITION
Organization Name
Inventor(s)
Hadi Givehchian of La Jolla CA (US)
Xiaoxin Zhang of Sunnyvale CA (US)
Peyman Siyari of San Jose CA (US)
RF-SENSING-BASED HUMAN IDENTIFICATION USING COMBINED GAIT AND SHAPE RECOGNITION - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17659602 Titled 'RF-SENSING-BASED HUMAN IDENTIFICATION USING COMBINED GAIT AND SHAPE RECOGNITION'
Simplified Explanation
This abstract describes a method that uses channel state information (CSI) data from RF signals to determine the identity of a person. The method involves receiving reflected RF signals from a person over a period of time and analyzing the observed gait and shape of the person based on the CSI data. The determined identity of the person is then outputted as an indication.
Original Abstract Submitted
In some implementations, a method may comprise obtaining channel state information (CSI) data corresponding to a set of RF signals received by one or more receiving devices, wherein: the set RF signals comprises two or more reflected RF signals successively received by the one or more receiving devices after being reflected from a person, and the two or more reflected RF signals are received by the one or more receiving devices over a period of time. The method may further comprise determining an identity of the person based at least in part on an observed gait of the person and an observed shape of the person, wherein the observed gait of the person and the observed shape of the person are determined based at least in part on the CSI data. The method may further comprise outputting an indication of the determined identity of the person.
