Multimodal Gesture Recognition
Multimodal Gesture Recognition is a gesture recognition paradigm that integrates multiple sensory inputs or data modalities—such as visual, depth, inertial, and audio signals—to improve the accuracy, robustness, and contextual understanding of gesture interpretation beyond what unimodal approaches can achieve.
525
Publications
27.2K
Citations
1.8K
Authors
547
Institutions
Publications per year
2017–2026
273
Parents
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The intelligent ASIMO: system overview and integration
Y. Sakagami, Rin Watanabe, C. Aoyama et al. · 2003 · 1.4K citations
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
14 h-index
54 publications
3K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
22 publications
2K citations
University of Chinese Academy of Sciences
Beijing, China
9 h-index
21 publications
1.2K citations
Wuhan University of Science and Technology
Wuhan, China
8 h-index
52 publications
3.6K citations

Xidian University
Xi'an, China
8 h-index
42 publications
4.5K citations
University of Portsmouth
Portsmouth, United Kingdom
8 h-index
8 publications
460 citations
Tsinghua University
Beijing, China
8 h-index
28 publications
5.2K citations
Institute of Automation
Beijing, China
8 h-index
18 publications
1.3K citations
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19 publications · 683 citations
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16 publications · 889 citations
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IMWUT · 10 publications · 378 citations
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Repository · 7 publications · 148 citations
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