Wireless Motion Recognition via Channel State Information
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current gesture recognition systems rely on vision-based approaches that require ambient light and raise privacy concerns, or sensor-based methods that are not as user-convenient and user-friendly as desired for human-computer interaction.
Innovation Solution
A wireless motion recognition system that processes wireless channel information to detect and track hand motions by transmitting and receiving signals through a wireless multipath channel, allowing for the determination of gesture shapes without the need for line-of-sight and without wearable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vision-based gesture recognition is used, then gesture recognition capability is improved, but privacy concerns increase and ambient light requirement is imposed
Solution Approach 1:
The patent replaces vision-based optical sensing with wireless signal-based sensing (WiFi, Bluetooth, radar) to detect gestures. The system uses channel state information from wireless communications to infer hand motions and gestures, eliminating the need for cameras and ambient light while reducing privacy concerns associated with visual monitoring.
Solution Approach 2:
The patent introduces wireless signals as an intermediary medium between the user and the recognition system. Instead of direct visual observation, the system uses wireless channel state information as a mediator to indirectly detect gestures, providing a non-intrusive alternative that maintains recognition capability while addressing privacy and lighting constraints.
2Reliability
If sensor-based gesture recognition is used, then gesture detection is achieved, but user convenience and user-friendliness deteriorate
Solution Approach 1:
The system performs gesture recognition passively using existing wireless communications without requiring active participation from the user. Users simply perform their natural actions (typing, waving, gesturing) and the system automatically detects and recognizes these gestures through wireless channel state information, eliminating the need for specialized sensors or wearable devices on the user.
Solution Approach 2:
The patent leverages existing wireless communication infrastructure (WiFi, Bluetooth, radar) for dual purposes: both communication and gesture recognition. This multi-functional approach eliminates the need for separate sensor systems, improving user convenience while maintaining gesture detection capability through the universal use of standard wireless protocols.
3Measurement precision
If line-of-sight requirement is imposed, then vision-based recognition accuracy is improved, but system adaptability to different environments deteriorates
Solution Approach 1:
The patent transitions from two-dimensional visual imaging to three-dimensional wireless signal propagation analysis. By using channel state information that captures signal variations in multiple dimensions (amplitude, phase, frequency) across different propagation paths, the system achieves gesture recognition without requiring line-of-sight, thereby improving environmental adaptability while maintaining accuracy through multi-dimensional signal analysis.
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 convenient and privacy-friendly gesture recognition by accurately tracking and classifying hand motions using wireless signals, enhancing user experience in human-computer interaction without the need for ambient light or wearable sensors.
Implementation Method 1
transmitting a first wireless signal through a wireless multipath channel of a venue; receiving a second wireless signal through the wireless multipath channel
Implementation Method 2
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
Data Source
AI summary
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.