Robust Gesture Recognition
Robust Gesture Recognition is a gesture recognition method that maintains high accuracy and reliability under varying environmental conditions, user differences, and input uncertainties, distinguishing itself by its resilience to noise, occlusion, and variability in execution.
175
Publications
9.6K
Citations
610
Authors
229
Institutions
Publications per year
2017–2026
80
Parents
175
Jaime Lien, Nicholas Gillian, Mustafa Emre Karagozler et al. · ACM Transactions on Graphics · 2016 · 938 citations
Robust Part-Based Hand Gesture Recognition Using Kinect Sensor
Zhou Ren, Junsong Yuan, Jingjing Meng et al. · IEEE Transactions on Multimedia · 2013 · 755 citations
Sidhant Gupta, Daniel Morris, Shwetak Patel et al. · 2012 · 350 citations
Engineering, Physics, Acoustics +16
Robust hand gesture recognition with kinect sensor
Zhou Ren, Jingjing Meng, Junsong Yuan et al. · 2011 · 281 citations
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229
Nanyang Technological University
Singapore, Singapore
8 h-index
19 publications
4.9K citations
University of Science and Technology of China
Hefei, China
6 h-index
19 publications
1.2K citations
Microsoft (United States)
Redmond, United States
6 h-index
15 publications
3.6K citations
University of Portsmouth
Portsmouth, United Kingdom
5 h-index
7 publications
209 citations

Peking University
Beijing, China
5 h-index
24 publications
1.2K citations
Technische Universität Berlin
Berlin, Germany
4 h-index
10 publications
281 citations
University of Washington
Seattle, United States
3 h-index
9 publications
1.3K citations
Institute of Software
Beijing, China
3 h-index
8 publications
391 citations
1–8 of 229
5 publications · 132 citations
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IMWUT · 4 publications · 168 citations
4
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3 publications · 253 citations
3
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TMCCI · 3 publications · 271 citations
3
h-index
Repository · 3 publications · 116 citations
3
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1–5