Gesture Learning
Gesture Learning is a computational framework that enables a system to acquire, model, and recognize meaningful human gestures through exposure to exemplar movements, distinguishing it from rule-based gesture recognition by its reliance on data-driven adaptation and generalization capabilities.
442
Publications
23.3K
Citations
1.4K
Authors
513
Institutions
Publications per year
2017–2026
238
442
MediaPipe Hands: On-device Real-time Hand Tracking
Fan Zhang, Valentin Bazarevsky, Andrey Vakunov et al. · arXiv (Cornell University) · 2020 · 553 citations · Full text
Learning and Reproduction of Gestures by Imitation
Sylvain Calinon, Florent D'halluin, Eric L. Sauser et al. · IEEE Robotics & Automation Magazine · 2010 · 455 citations · Full text
1–5 of 442
1.4K
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National Institute of Astrophysics, Optics and Electronics, Mexico
6 publications · 589 citations
6
h-index
Institut de Recherche et Coordination Acoustique Musique, France
6 publications · 209 citations
6
h-index
6
h-index
1–5 of 1.4K
513
Georgia Institute of Technology
Atlanta, United States
11 h-index
33 publications
1.5K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
21 publications
1.7K citations
Google (United States)
Mountain View, United States
9 h-index
16 publications
1.1K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
35 publications
1.9K citations
University of Chicago
Chicago, United States
7 h-index
19 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
21 publications
473 citations
Tsinghua University
Beijing, China
7 h-index
33 publications
2.7K citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
14 publications
743 citations
1–8 of 513
11 publications · 585 citations
11
h-index
7 publications · 321 citations
7
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Repository · 6 publications · 665 citations
6
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TPAMI · 6 publications · 511 citations
6
h-index
IMWUT · 6 publications · 384 citations
6
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