User-dependent Gesture Recognition
User-Dependent Gesture Recognition is a gesture recognition paradigm that belongs to the class of personalized recognition systems, distinguished by its reliance on user-specific training data to model individualized motion patterns and physiological characteristics for improved recognition accuracy.
116
Publications
4.5K
Citations
436
Authors
159
Institutions
Publications per year
2017–2026
61
Variants
Personalized Gesture Recognition
Parents
116
1–5 of 116
436
4
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 436
159
Carnegie Mellon University
Pittsburgh, United States
5 h-index
6 publications
119 citations
Google (United States)
Mountain View, United States
4 h-index
6 publications
200 citations

University of Central Florida
Orlando, United States
4 h-index
10 publications
425 citations
University of Washington
Seattle, United States
4 h-index
5 publications
395 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
8 publications
282 citations

University of Toronto
Toronto, Canada
3 h-index
5 publications
295 citations

University of Aizu
Fukushima, Japan
3 h-index
8 publications
230 citations
Ştefan cel Mare University of Suceava
Suceava, Romania
3 h-index
3 publications
328 citations
1–8 of 159
IMWUT · 6 publications · 334 citations
6
h-index
4 publications · 123 citations
4
h-index
3 publications · 133 citations
3
h-index
2 publications · 87 citations
2
h-index
2 publications · 88 citations
2
h-index
1–5