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With hand gesture recognition (HGR), users can play virtual games together, control the smart equipment, etc. As a result, this paper presents a multi-hand gesture recognition system using automotive frequency modulated continuous wave (FMCW) radar. Specifically, we first constructed the range-Doppler map (RDM) and range-angle map (RAM), and then suppressed the spectral leakage, and dynamic and static interferences. Since the received echo signals with multi-hand gestures are mixed together, we propose a spatiotemporal path selection algorithm to separate the mixed multi-hand gestures. A dual 3D convolutional neural network-based feature fusion network is proposed for feature extraction and classification. We developed the FMCW radar-based platform to evaluate the performance of the proposed multi-hand gesture recognition method; the experimental results show that the proposed method can achieve an average recognition accuracy of 93.12% when eight gestures with two hands are performed simultaneously.<\/jats:p>","DOI":"10.3390\/rs14102374","type":"journal-article","created":{"date-parts":[[2022,5,15]],"date-time":"2022-05-15T09:48:22Z","timestamp":1652608102000},"page":"2374","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Multi-Hand Gesture Recognition Using Automotive FMCW Radar Sensor"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5061-8173","authenticated-orcid":false,"given":"Yong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}]},{"given":"Di","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}]},{"given":"Yunhai","family":"Fu","sequence":"additional","affiliation":[{"name":"Wuhan Martime Communication Research Institute, Wuhan 430025, China"}]},{"given":"Dengke","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7550-2991","authenticated-orcid":false,"given":"Liangbo","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}]},{"given":"Mu","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/MIC.2019.2921640","article-title":"Sensing our world using wireless signals","volume":"23","author":"Chen","year":"2019","journal-title":"IEEE Internet Comput."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"5906","DOI":"10.1109\/JSEN.2018.2840093","article-title":"Capacitive proximity sensor array with a simple high sensitivity capacitance measuring circuit for human-computer interaction","volume":"8","author":"Ye","year":"2018","journal-title":"IEEE Sens. 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