FMCW radar based Position Adaptive Gesture Recognition Method

2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation (APCAP)(2023)

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摘要
This paper proposes a position adaptive gesture recognition method based on frequency modulated continuous wave (FMCW) radar. Specifically, we construct the range-Doppler and range-angle parameter maps respectively. Then, a position mapping algorithm is proposed to process the denoised parameter map. Then the dynamic time warping (DTW) algorithm based on feature fusion is used for gesture classification. Finally, the experimental results show that the average gesture classification precision is 97.6 %.
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关键词
Gesture Recognition,Frequency Modulated Continuous Wave,Parametric Mapping,Average Precision,Mapping Algorithm,Feature Fusion,Dynamic Time Warping,Wave Radar,Gesture Classification,Time Complexity,Learning Network,Human-computer Interaction,Radial Distance,Range Maps,Intermediate Frequency Signal,Hand Gesture Recognition
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