Gesture Recognizers
Gesture Recognizers is a computational framework that identifies and interprets user gestures from input signals by distinguishing spatial, temporal, and kinesthetic patterns within direct manipulation interfaces.
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4K
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Institutions
Publications per year
2017–2026
511
1.3K
Whole-home gesture recognition using wireless signals
Qifan Pu, Sidhant Gupta, Shyamnath Gollakota et al. · 2013 · 1.1K citations
Specifying gestures by example
Dean Rubine · 1991 · 781 citations
Computing, Mechatronics Engineering, Human-computer Interaction +14
Robust Part-Based Hand Gesture Recognition Using Kinect Sensor
Zhou Ren, Junsong Yuan, Jingjing Meng et al. · IEEE Transactions on Multimedia · 2013 · 755 citations
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University of Washington
Seattle, United States
24 h-index
66 publications
11.3K citations
Carnegie Mellon University
Pittsburgh, United States
23 h-index
54 publications
5.6K citations
Georgia Institute of Technology
Atlanta, United States
19 h-index
91 publications
6.2K citations
Massachusetts Institute of Technology
Cambridge, United States
18 h-index
34 publications
3.5K citations
Tsinghua University
Beijing, China
17 h-index
84 publications
7.4K citations
Microsoft (United States)
Redmond, United States
17 h-index
42 publications
8K citations
Google (United States)
Mountain View, United States
17 h-index
35 publications
3.8K citations

Chinese Academy of Sciences
Beijing, China
17 h-index
80 publications
5.4K citations
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25 publications · 1.3K citations
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21 publications · 1.3K citations
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IMWUT · 19 publications · 872 citations
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16 publications · 936 citations
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16 publications · 997 citations
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