Gesture Dataset Annotation
Gesture Dataset Annotation is a scholarly contribution that constitutes a systematic process of labeling temporal or spatial gesture data with semantic, kinematic, or categorical information to enable supervised learning and evaluation in gesture recognition research.
57
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2.8K
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222
Authors
102
Institutions
Publications per year
2017–2026
36
Parents
57
Instructing people for training gestural interactive systems
Simon Fothergill, Helena M. Mentis, Pushmeet Kohli et al. · 2012 · 371 citations
The Jester Dataset: A Large-Scale Video Dataset of Human Gestures
Joanna Materzyńska, Guillaume Berger, Ingo Bax et al. · 2019 · 257 citations
Multi-modal gesture recognition challenge 2013
Sérgio Escalera, Jordi Gonzàlez, Xavier Baró et al. · 2013 · 183 citations
The American Sign Language Lexicon Video Dataset
Vassilis Athitsos, Carol Neidle, Stan Sclaroff et al. · 2008 · 164 citations
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The University of Texas at Arlington
Arlington, United States
3 h-index
8 publications
425 citations

University of St Andrews
St Andrews, United Kingdom
3 h-index
9 publications
334 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
3 publications
418 citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
6 publications
237 citations
Korea University
Seoul, South Korea
2 h-index
6 publications
204 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
525 citations
Computer Vision Center
Cerdanyola del Vallès, Spain
2 h-index
4 publications
591 citations

Hanoi University of Science and Technology
Hanoi, Vietnam
2 h-index
9 publications
150 citations
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3 publications · 57 citations
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1 publications · 21 citations
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Repository · 1 publications · 35 citations
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1 publications · 33 citations
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Repository · 1 publications · 20 citations
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