Radar Micro-Gesture Burst Rejection for Valid Gesture Detection
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Solution Overview
Problem
Existing gesture recognition systems using optic and LIDAR sensors face limitations such as sensitivity to ambient lighting conditions, privacy concerns, and high cost, making them unsuitable for long-term use in devices like smartphones and smart home devices.
Innovation Solution
A burst-based non-gesture rejection method using a radar transceiver and processor to identify radar frames, extract features, compute burst attributes, and determine valid gestures for micro-gesture recognition, enabling efficient rejection of non-gestures in a micro-gesture recognition system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optic sensor based solutions are used for gesture recognition, then gesture recognition performance is improved, but sensitivity to ambient lighting conditions and privacy concerns increase, and battery consumption increases
Solution Approach 1:
The patent replaces optic sensor based gesture recognition with radar-based gesture recognition. Radar uses electromagnetic waves to detect hand movements and gestures, eliminating sensitivity to ambient lighting conditions and privacy concerns associated with optical sensors. The radar transceiver and processor detect gestures through radio wave reflections, providing robust performance across various lighting environments while maintaining user privacy.
2Measurement precision
If optic sensor based solutions are used for gesture recognition, then gesture recognition performance is improved, but battery consumption increases, making them unable to run for long periods of time
Solution Approach 1:
The patent substitutes optic sensors with radar technology for gesture recognition. Radar-based systems consume significantly less power compared to optic sensor based solutions, enabling continuous operation for extended periods without requiring frequent battery recharges. The radar transceiver and processor efficiently detect gestures through radio wave reflections, maintaining low power consumption while preserving gesture recognition capabilities.
3Object-affected harmful factors
If LIDAR based solutions are used for gesture recognition, then lighting conditions and privacy challenges are overcome, but cost becomes prohibitive
Solution Approach 1:
The patent employs radar-based gesture recognition instead of expensive LIDAR systems. Radar technology provides comparable advantages in handling lighting conditions and privacy issues at a fraction of the cost. The radar transceiver and processor detect hand movements and gestures through radio wave reflections, offering an affordable solution that maintains robust performance across various lighting environments while protecting user privacy.
4Loss of energy
If burst-based non-gesture rejection is implemented, then power consumption is reduced and reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements preliminary action through burst-based non-gesture rejection by analyzing radar signal bursts before committing to gesture recognition processing. The system pre-processes radar frames to identify and filter out non-gesture activities, reducing unnecessary processing and lowering power consumption. This preliminary filtering action maintains system reliability while managing computational resources efficiently.
Solution Approach 2:
The patent extracts and removes non-gesture radar signal bursts from the processing pipeline using burst-based rejection criteria. By identifying and extracting non-gesture bursts early in the processing sequence, the system reduces the computational burden on subsequent gesture recognition modules, thereby lowering overall power consumption and managing device complexity through targeted signal filtering.
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
The method effectively distinguishes valid gestures from non-gestures, reducing power consumption and improving the reliability of gesture recognition systems, particularly in dynamic scenarios involving hand movements near the device.
Implementation Method 1
a transceiver configured to transmit and receive radar signals
Data Source
AI summary
An electronic device includes a transceiver configured to transmit and receive radar signals and a processor operatively coupled to the transceiver. The processor is configured to identify, based on the received radar signals, a plurality of radar frames related to an activity of a target. The processor is further configured to extract a plurality of features from the plurality of radar frames, compute burst attributes for the extracted features, predict a gesture based on the burst attributes, determine whether the predicted gesture is a valid gesture, and if the predicted gesture is a valid gesture, perform an action corresponding to the predicted gesture.