Radar Gesture Recognition Identity Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional gesture recognition methods require additional unlocking steps and are prone to privacy issues and security risks due to energy consumption and the need for separate identity verification, as well as allowing anyone to perform the same gesture to achieve the same effect after the device is unlocked.
Innovation Solution
A method utilizing radar signals to simultaneously recognize identity and gestures by processing radar echo signals with a FMCW millimeter-wave radar, employing neural networks for feature extraction and verification, and integrating identity and gesture recognition within a single gesture operation, reducing energy consumption and enhancing security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera is used to collect gesture information, then gesture recognition can be performed, but energy consumption increases and privacy issues arise
Solution Approach 1:
The patent replaces the camera-based optical system with a radar-based electromagnetic wave detection system. The radar sensor emits electromagnetic waves and detects reflections from gestures, enabling gesture recognition without the high energy consumption and privacy concerns of camera systems while maintaining recognition accuracy
2Ease of operation
If traditional gesture recognition is used, then gesture information can be processed, but additional identity verification steps are required and security risks remain
Solution Approach 1:
The patent merges identity verification and gesture recognition into a single integrated process. The radar sensor simultaneously captures both identity characteristics and gesture information from the same signal source, eliminating the need for separate verification steps and ensuring that only the authorized user can perform recognized gestures
Solution Approach 2:
The radar sensor serves multiple functions simultaneously: it performs both identity verification and gesture recognition using the same hardware and signal processing pipeline, making the system more efficient and secure while reducing operational complexity
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
This approach effectively reduces energy consumption, ensures user privacy, and improves the convenience and security of gesture recognition by allowing identity and gesture verification in a single step without additional unlocking processes, achieving a recognition accuracy of about 90%.
Implementation Method 1
a radar sensor is used to collect signals
Implementation Method 2
radar echo signal reflected by various gestures
Implementation Method 3
frequency-mixing the radar echo signal with a radar transmission signal
Implementation Method 4
obtaining a Doppler frequency of a gesture from the signal
Data Source
AI summary
A method for recognizing an identity and a gesture based on radar signals includes: reading a radar echo signal reflected by various gestures of a tester and received by a radar sensor; frequency-mixing the radar echo signal with a radar transmission signal; after filtering and centralizing a frequency-mixed signal, training and obtaining a neural network capable of identity verification and a neural network capable of gesture recognition; in a real-time detection process, verifying an identity of a user; and if the identity is verified, determining that a gesture of the user is valid; verifying the gesture of the user and executing a corresponding operation according to correspondence between the gesture of the user and an operation. It can be determined by the method whether the gesture belongs to the corresponding user and whether the operation corresponding to the gesture is performed according to the determined result.