Gesture Feature Extraction
Gesture Feature Extraction is a computational process in gesture recognition that identifies and isolates discriminative spatiotemporal patterns from raw sensor or visual data to represent meaningful motion characteristics for classification.
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Gesture recognition by instantaneous surface EMG images
Weidong Geng, Yu Du, Wenguang Jin et al. · Scientific Reports · 2016 · 592 citations · Full text
Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi
Yue Zheng, Yi Zhang, Kun Qian et al. · 2019 · 519 citations · Full text
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Chinese Academy of Sciences
Beijing, China
20 h-index
90 publications
4.1K citations
Wuhan University of Science and Technology
Wuhan, China
18 h-index
133 publications
12.8K citations

Harbin Institute of Technology
Harbin, China
17 h-index
53 publications
2.2K citations
University of Portsmouth
Portsmouth, United Kingdom
17 h-index
26 publications
2K citations
University of Chinese Academy of Sciences
Beijing, China
16 h-index
51 publications
2.9K citations
Tsinghua University
Beijing, China
16 h-index
54 publications
7K citations

Shanghai Jiao Tong University
Shanghai, China
16 h-index
44 publications
1.6K citations

Zhejiang University
Hangzhou, China
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44 publications
7.4K citations
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