WiFi Channel State Information Sensing for Gesture Recognition
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Solution Overview
Problem
Current human-computer interaction and intelligent recognition technologies face challenges with low accuracy and privacy concerns, particularly with sensing technologies based on sensors and vision, and recent research using WiFi signals for sensing recognition has shown low accuracy and poor recognition effects.
Innovation Solution
A method and device for sensing recognition based on wireless communication signals that involves obtaining channel state information, extracting channel state feature values, and outputting sensing results, which includes signal pre-processing using linear transformation, Hampel filtering, and moving average filtering to improve accuracy and reduce noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensing technology based on sensors (acceleration sensors, gyroscopes, RFID) is used, then sensing recognition can be achieved, but the user is required to wear the sensor device with low accuracy
Solution Approach 1:
The patent replaces mechanical sensor-based sensing systems with wireless communication signal-based sensing. Instead of using acceleration sensors, gyroscopes, or RFID tags that require physical attachment to users, the system uses WiFi channel state information to detect human motion and gestures, eliminating the need for users to wear any devices while maintaining sensing capabilities
Solution Approach 2:
The patent introduces wireless communication signals as an intermediary between the sensing system and the target object. Rather than directly measuring physical quantities with sensors, the system uses the interaction between wireless signals and the propagation medium (which is affected by human motion) to indirectly obtain sensing information, thereby avoiding direct contact with users
2Measurement precision
If sensing technology based on vision (camera to capture images or video data) is used, then sensing recognition can be achieved, but light sensitivity and privacy revelation occur
Solution Approach 1:
The patent replaces vision-based sensing systems with wireless communication-based sensing. Instead of using cameras to capture images or video data that are sensitive to light conditions and raise privacy concerns, the system uses wireless communication channel state information to detect human motion, eliminating light sensitivity and privacy revelation issues
Solution Approach 2:
The patent introduces wireless communication signals as an intermediary that does not require direct visual observation. The sensing is achieved through the interaction between wireless signals and the propagation medium, which is affected by human motion but does not reveal visual information, thereby protecting privacy and eliminating light sensitivity
3Adaptability or versatility
If sensing technology based on WiFi devices considering RSSI is used, then sensing recognition can be achieved, but the recognition accuracy is low and recognition effect is poor
Solution Approach 1:
The patent changes the parameter used for sensing from RSSI (Received Signal Strength Indication) to channel state information. Instead of relying on signal strength alone, which provides limited information and low recognition accuracy, the system utilizes complex channel state information including amplitude and phase characteristics across multiple subcarriers, thereby significantly improving recognition accuracy while maintaining WiFi-based sensing capability
Data Source
AI summary
A sensing recognition method and device based on wireless communication signals are disclosed. The method comprises the steps of obtaining channel state information from a received wireless communication signal; extracting a channel state feature value from the channel state information; and outputting a sensing result mapped with the channel state feature value according to the channel state feature value. The disclosed method and device can improve the accuracy of sensing recognition and achieve better recognition effect.