Article
Recognition of dynamic hand gestures
Pattern Recognition
(2003)
Abstract
This paper is concerned with the problem of recognition of dynamic hand gestures. We have considered gestures which are sequences of distinct hand poses. In these gestures hand poses can undergo motion and discrete changes. However, continuous deformations of the hand shapes are not permitted. We have developed a recognition engine which can reliably recognize these gestures despite individual variations. The engine also has the ability to detect start and end of gesture sequences in an automated fashion. The recognition strategy uses a combination of static shape recognition (performed using contour discriminant analysis), Kalman filter based hand tracking and a HMM based temporal characterization scheme. The system is fairly robust to background clutter and uses skin color for static shape recognition and tracking. A real time implementation on standard hardware is developed. Experimental results establish the effectiveness of the approach.
Keywords
- Hand gesture,
- Hidden Markov model,
- Contour tracking,
- Real time system
Disciplines
Publication Date
September, 2003
DOI
10.1016/S0031-3203(03)00042-6
Publisher Statement
This is a manuscript of an article from Pattern Recognition 36 (2003): 2069, doi:10.1016/S0031-3203(03)00042-6. Posted with permission. © 2003. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Citation Information
Aditya Ramamoorthy, Namrata Vaswani, Santanu Chaudhury and Subhashis Banerjee. "Recognition of dynamic hand gestures" Pattern Recognition Vol. 36 Iss. 9 (2003) p. 2069 - 2081 Available at: http://works.bepress.com/namrata-vaswani/3/
Creative Commons license
This work is licensed under a Creative Commons CC_BY-NC-ND International License.