Hand Gesture Recognition Using Particle Swarm Movement
- Authors
- Nyirarugira, Clementine; Choi, Hyo-rim; Kim, TaeYong
- Issue Date
- 2016
- Publisher
- HINDAWI PUBLISHING CORP
- Citation
- MATHEMATICAL PROBLEMS IN ENGINEERING, v.2016
- Journal Title
- MATHEMATICAL PROBLEMS IN ENGINEERING
- Volume
- 2016
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/8701
- DOI
- 10.1155/2016/1919824
- ISSN
- 1024-123X
1563-5147
- Abstract
- We present a gesture recognition method derived from particle swarm movement for free-air hand gesture recognition. Online gesture recognition remains a difficult problem due to uncertainty in vision-based gesture boundary detection methods. We suggest an automated process of segmenting meaningful gesture trajectories based on particle swarm movement. A subgesture detection and reasoning method is incorporated in the proposed recognizer to avoid premature gesture spotting. Evaluation of the proposed method shows promising recognition results: 97.6% on preisolated gestures, 94.9% on stream gestures with assistive boundary indicators, and 94.2% for blind gesture spotting on digit gesture vocabulary. The proposed recognizer requires fewer computation resources; thus it is a good candidate for real-time applications.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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