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Continuous hand gesture recognition: Benchmarks and methods

delete2025-07-02
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PRE
AI
M
Marco Emporio
A
Amirpouya Ghasemaghaei
J
Joseph J. LaViola
A
Andrea Giachetti *
DOI:10.1016/j.cviu.2025.104435delete
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Abstract

Abstract

En 中文
• Survey of benchmarks to evaluate continuous gesture recognition methods. • Classification of the benchmarks according to a specific taxonomy. • Analysis of the best methods tested on these benchmarks. • Identification of specific research gaps. • Proposal of future research directions.
Keywords:
41A05
41A10
65D05
65D17
Hand gestures
detection
classification
interaction

Journal

Computer Vision and Image Understanding cover
Computer Vision and Image Understanding
IF:
3.5
Papers:
428
Citations:
7.3K

Organization

U
University of Verona
Scholars:
1.9W
Papers: 1.4W
Citations: 1.5W
H
harris engineering center 321
Scholars:
2
Papers: 1
Citations: 0