Wireless Gait Recognition via Multipath Channel Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gait recognition systems, both wireless and non-wireless, face limitations such as the need for user cooperation, restricted monitoring areas, high costs, privacy concerns, and inefficiencies in capturing comprehensive gait data, especially in unrestricted environments like homes or public spaces.
Innovation Solution
A system utilizing wireless signals and multipath channel information to monitor and identify rhythmic motions like gait, comprising a transmitter, receiver, and processor that extract time series channel information to analyze and respond to gait patterns without requiring direct line-of-sight or specialized hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing gait recognition systems (wireless or non-wireless) are used, then gait monitoring can be performed, but user cooperation is required and monitoring area is restricted
Solution Approach 1:
The patent replaces mechanical/optical sensing systems (cameras, infrared sensors, floor sensors) with wireless RF signal-based detection. The system uses wireless signals transmitted through the air to detect gait patterns, eliminating the need for physical sensors installed in specific locations or requiring user interaction with monitoring equipment. This substitution enables unrestricted area coverage and eliminates user cooperation requirements.
Solution Approach 2:
The patent makes wireless signals serve dual purposes: both communication and gait detection. The same wireless signals used for normal data transmission are simultaneously analyzed for gait information through multipath channel characteristics. This multi-functionality eliminates the need for separate dedicated gait monitoring hardware and enables universal deployment in any wireless network environment without additional user cooperation or area restrictions.
2Measurement precision
If specialized hardware and extensive installation are used, then monitoring precision is improved, but system cost and complexity increase
Solution Approach 1:
The patent enables the existing wireless communication system to perform gait monitoring autonomously without external specialized hardware. The multipath channel information is automatically extracted from standard wireless signal transmissions, and the system self-configures using available RF environment data. This self-service approach eliminates the need for complex specialized hardware installation while maintaining measurement precision through sophisticated signal processing of naturally occurring wireless signal variations.
3Area of stationary object
If direct line-of-sight requirements are imposed, then signal quality is improved, but monitoring coverage area is reduced
Solution Approach 1:
The patent converts the previously harmful effect of signal reflections and multipath interference into a beneficial detection mechanism. Instead of treating multipath components as noise to be eliminated, the system exploits these reflections to detect gait patterns. The variations in signal strength and phase caused by reflections off the moving body provide rich gait information, transforming what was considered a signal quality degradation into a valuable measurement resource that enables broader coverage without line-of-sight requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables continuous, non-intrusive, and efficient gait monitoring and identification in various environments, providing comprehensive gait data without the need for user cooperation or extensive hardware installation, thus overcoming the limitations of existing systems.
Implementation Method 1
a time series of channel information (CI) of a wireless multipath channel is obtained. The second wireless signal differs from the first wireless signal due to the wireless multipath channel which is impacted by a rhythmic motion of the object
Data Source
AI summary
Methods, apparatus and systems for wireless gait recognition and rhythmic motion monitoring are described. In one example, a described system comprises: a transmitter, a receiver, and a processor. The transmitter is configured for transmitting a first wireless signal towards an object in a venue through a wireless multipath channel of the venue. The receiver is configured for: receiving a second wireless signal through the wireless multipath channel between the transmitter and the receiver. The second wireless signal differs from the first wireless signal due to the wireless multipath channel which is impacted by a rhythmic motion of the object. The processor is configured for: obtaining a time series of channel information (CI) of the wireless multipath channel based on the second wireless signal, monitoring the rhythmic motion of the object based on the time series of CI (TSCI), and triggering a response action based on a result of the monitoring.