Dynamic Gesture Recognition
Dynamic Gesture Recognition is a gesture recognition approach that identifies temporally varying movements through sequential analysis of posture changes over time, distinguishing itself from static methods by capturing motion trajectories and temporal dynamics.
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Publications
22.1K
Citations
1.5K
Authors
504
Institutions
Publications per year
2017–2026
248
481
Saiwen Wang, Jie Song, Jaime Lien et al. · 2016 · 432 citations · Full text
Gesture recognition using recurrent neural networks
K. Murakami, Hitomi Taguchi · 1991 · 357 citations
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Tsinghua University
Beijing, China
14 h-index
42 publications
2.5K citations

University of Ottawa
Ottawa, Canada
9 h-index
31 publications
878 citations

Chinese Academy of Sciences
Beijing, China
8 h-index
23 publications
744 citations

Beijing University of Posts and Telecommunications
Beijing, China
7 h-index
32 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
17 publications
1.3K citations
National Institute Of Technology Silchar
Silchar, India
7 h-index
20 publications
751 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
6 h-index
15 publications
1.1K citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
6 h-index
19 publications
758 citations
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19 publications · 1.4K citations
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17 publications · 794 citations
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