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A dynamic gesture interface for virtual environments based on hidden Markov models

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4 Author(s)
Qing Chen ; Sch. of Inf. Technol. & Eng., Ottawa Univ., Canada ; El-Sawah, A. ; Joslin, C. ; Georganas, Nicolas D.

A dynamic gesture interface for virtual environments based on hidden Markov models (HMMs) is introduced in this paper. The HMMs are employed to represent the continuous dynamic gestures, and their parameters are learned from the training data collected from the CyberGlove. To avoid the gesture spotting problem, we employed the standard deviation of the angle variation for each finger joint to describe the dynamic characters of the gestures. A prototype which applies 3 different dynamic gestures to control the rotation directions of a 3D cube is implemented to test the effectiveness of the proposed method.

Published in:

Haptic Audio Visual Environments and their Applications, 2005. IEEE International Workshop on

Date of Conference:

1-2 Oct. 2005

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