Sensor-based Gesture Recognition
Sensor-Based Gesture Recognition is a gesture recognition methodology that employs physical or electronic sensors to detect and interpret human gestures by distinguishing them from non-gestural movements through sensor-derived data analysis.
996
Publications
53.4K
Citations
3.4K
Authors
931
Institutions
Publications per year
2017–2026
516
996
Whole-home gesture recognition using wireless signals
Qifan Pu, Sidhant Gupta, Shyamnath Gollakota et al. · 2013 · 1.1K citations
Jaime Lien, Nicholas Gillian, Mustafa Emre Karagozler et al. · ACM Transactions on Graphics · 2016 · 938 citations
A Low Power, Fully Event-Based Gesture Recognition System
Arnon Amir, Brian Taba, David Van Den Berg et al. · 2017 · 916 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
1–5 of 996
3.4K
10
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10
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German Research Centre for Artificial Intelligence, Germany
9 publications · 667 citations
9
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8
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8
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1–5 of 3.4K
931
ETH Zurich
Zurich, Switzerland
18 h-index
66 publications
8.6K citations
University of Science and Technology of China
Hefei, China
16 h-index
68 publications
6.9K citations
Georgia Institute of Technology
Atlanta, United States
12 h-index
35 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
42 publications
2.1K citations
University of Washington
Seattle, United States
11 h-index
38 publications
7.6K citations

Shanghai Jiao Tong University
Shanghai, China
11 h-index
39 publications
2.7K citations
Tsinghua University
Beijing, China
10 h-index
25 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
20 publications
2.1K citations
1–8 of 931
50 publications · 2.3K citations
31
h-index
41 publications · 2.8K citations
29
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18 publications · 967 citations
17
h-index
11 publications · 508 citations
11
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IMWUT · 11 publications · 588 citations
11
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