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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1207

Title: Recognition of dynamic hand gestures
Authors: Ramamoorthy, Aditya
Vaswani, Namrata
Chaudhury, Santanu
Banerjee, Subhashis
Keywords: Hand gesture
Hidden Markov model
Contour tracking
Real time system
Issue Date: 2003
Citation: Pattern Recognition, 36(9), 2069-2081
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.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/1207
Appears in Collections:Electrical Engineering

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