Continuous hand gesture segmentation and co-articulation detection

  • Authors:
  • M. K. Bhuyan;D. Ghosh;P. K. Bora

  • Affiliations:
  • Department of Electronics and Communication Engineering, Indian Institute of Technology, Guwahati, India;Faculty of Engineering and Technology, Multimedia University, Melaka Campus, Malaysia;Department of Electronics and Communication Engineering, Indian Institute of Technology, Guwahati, India

  • Venue:
  • ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
  • Year:
  • 2006

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Abstract

Gesture segmentation is an extremely difficult task due to both the multitude of possible gesture variations in spatio-temporal space and the co-articulation of successive gestures. In this paper, a robust framework for this problem is proposed which has been used to segment out component gestures from a continuous stream of gestures using finite state machine and motion features in a vision based platform.