Touch Gesture Recognition
Touch Gesture Recognition is a computational method that identifies and interprets intentional human touch-based interactions on digital surfaces by analyzing spatiotemporal patterns of contact, pressure, and movement, distinguishing itself from related input recognition techniques through its focus on deliberate gestural input rather than static touch or non-gestural manipulation.
66
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2.7K
Citations
235
Authors
94
Institutions
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2017–2026
24
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66
Makoto Ono, Buntarou Shizuki, Jiro Tanaka · 2013 · 184 citations
Engineering, Mechanical Engineering, Robotics Engineering +17
Xinchen Zhang, Yafeng Yin, Lei Xie et al. · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2020 · 120 citations
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94

University of Twente
Enschede, The Netherlands
5 h-index
12 publications
582 citations

University of British Columbia
Vancouver, Canada
4 h-index
9 publications
445 citations
Tianjin University
Tianjin, China
3 h-index
13 publications
223 citations
Utrecht University
Utrecht, The Netherlands
2 h-index
2 publications
99 citations
University of Washington
Seattle, United States
2 h-index
3 publications
161 citations
Google (United States)
Mountain View, United States
2 h-index
2 publications
142 citations
University of Maryland, Baltimore County
Baltimore, United States
2 h-index
3 publications
266 citations
National Institute for Public Policy Analysis
Rome, Italy
2 h-index
2 publications
66 citations
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IMWUT · 3 publications · 177 citations
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2 publications · 43 citations
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2 publications · 107 citations
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1 publications · 45 citations
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JATIT · 1 publications · 15 citations
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