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15 February 2022 Gesture recognition with feature fusion using FMCW radar
Tianyang Chen, Xichao Dong, Yaowen Chen
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Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121661E (2022) https://doi.org/10.1117/12.2611662
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong
Abstract
We propose a feature fusion method for gesture recognition based on Frequency Modulated Continuous Wave (FMCW) radar. First, we estimate the radial information distance, Doppler and tangential information azimuth, elevation of the gesture by signal processing to construct the multi-dimensional feature data set; Then, for feature extraction and accurate classification, we design feature fusion scheme and build multi-dimensional feature convolutional neural network. Experimental results show that our proposed scheme with gesture multi-dimensional feature as input can solve the problem of insufficient feature representation in traditional Range-Doppler (RD) domain gesture recognition methods, and the recognition accuracy is improved by 4%~8% compared with the case without feature fusion.
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Tianyang Chen, Xichao Dong, and Yaowen Chen "Gesture recognition with feature fusion using FMCW radar", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121661E (15 February 2022); https://doi.org/10.1117/12.2611662
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KEYWORDS
Radar
Gesture recognition
Data fusion
Radar signal processing
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