Millimeter Wave Radar Hand Gesture Recognition
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Solution Overview
Problem
Millimeter wave radar systems face challenges in effectively distinguishing between human bodies and hands, especially when both are in motion, due to interference in their relatively short distance, making it difficult to accurately recognize hand gestures.
Innovation Solution
A method utilizing millimeter wave radar to recognize human bodies and hands by generating and maintaining reference and human body maps based on detection information, including parameters like radial velocity, signal-to-noise ratio, and presence hot degree, to differentiate between stationary and non-stationary objects, and then determining hand gestures through motion trajectory analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If millimeter wave radar is used to detect both human bodies and hands, then detection coverage is improved, but detection precision deteriorates due to interference between the two targets at short distances
Solution Approach 1:
The patent segments the detection process into two distinct phases: first detecting human bodies using multiple frames of detection information, then detecting hands by looking for new detection targets with radial velocity within a preset range of the human body target. This segmentation allows the system to maintain both wide detection coverage and high detection precision by treating body and hand detection as separate hierarchical tasks rather than simultaneous competing detections.
2Quantity of substance
If the radar system detects all objects in the detection range, then detection completeness is improved, but the ability to distinguish between human bodies and hands deteriorates
Solution Approach 1:
The patent applies local quality by using different detection criteria for different spatial regions. For the general detection range, the system uses comprehensive detection parameters (spatial coordinates, radial velocity, signal-to-noise ratio, presence hot degree, recent motion hot degree, consecutive detection number) to ensure detection completeness. For the specific region within the preset range of a human body target, the system focuses on detecting new targets with radial velocity to identify hands, thereby achieving high target distinction accuracy through region-specific detection strategies.
3Measurement precision
If the system uses multiple parameters for target identification, then recognition accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-calculating and maintaining six key parameters (spatial coordinates, radial velocity, signal-to-noise ratio, presence hot degree, recent motion hot degree, consecutive detection number) for all detection targets throughout the detection process. By preparing these parameters in advance and organizing them in a structured manner, the system reduces the computational complexity during the actual hand detection phase, as the parameters are already available for direct comparison and analysis without requiring complex real-time calculations.
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 accurate recognition of human hands and gestures by effectively distinguishing between human bodies and hands in motion, improving the ability to interpret hand movements with high precision.
Implementation Method 1
A millimeter wave radar refers to a radar with a working frequency band in a millimeter wave frequency band
Implementation Method 2
the millimeter wave radar is configured to acquiring a plurality of frames of detection information
Data Source
AI summary
A method for recognizing a human hand comprises: recognizing a human body target by using a plurality of frames of detection information acquired by a millimeter wave radar within a preset time period; determining whether a new detection target satisfying setting conditions exists within a preset range centering on the human body target, according to a current frame of detection information, the setting conditions including: having a radial velocity; if so, determining the new detection target satisfying the setting conditions as a hand corresponding to the human body target; and if not, determining that the hand corresponding to the human body target does not exist in the current frame.