Hand Gesture Analysis is a computational methodology within the field of human-computer interaction that specifically identifies, interprets, and classifies meaningful hand movements and configurations to extract intentional communicative or control-oriented gestures from visual or sensor data.
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Citations
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Authors
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Institutions
Publications per year
2017–2026
854
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Publications
1.8K
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
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Authors
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- HL
15
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- MK
13
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- JS
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- JW
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- RH
10
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Institutions
1.4K
Shanghai Jiao Tong University
Shanghai, China
20 h-index
76 publications
4.1K citations
Chinese Academy of Sciences
Beijing, China
18 h-index
69 publications
2.5K citations
Tsinghua University
Beijing, China
18 h-index
61 publications
3.4K citations
Harbin Institute of Technology
Harbin, China
17 h-index
59 publications
1.8K citations
University of Aizu
Fukushima, Japan
15 h-index
37 publications
1.8K citations
Zhejiang University
Hangzhou, China
15 h-index
68 publications
3.4K citations
University of Portsmouth
Portsmouth, United Kingdom
15 h-index
36 publications
1.4K citations
Indian Institute of Technology Guwahati
Guwahati, India
14 h-index
35 publications
1.2K citations
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- Sensors
43 publications · 2.1K citations
27
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- IEEE Sensors Journal
32 publications · 1.9K citations
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- Multimedia Tools and Applications
28 publications · 1.4K citations
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- Pattern Recognition
20 publications · 1.8K citations
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- IEEE Access
22 publications · 1.5K citations
19
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