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Operational gesture segmentation and recognition

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2 Author(s)
Ma, Gengyu ; Institute of Human Computer Interface and Media Integration, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China ; Lin, Xueyin

Gesture analysis by computer is an important part of the human computer interface (HCI) and a gesture analysis method was developed using a skin-color-based method to extract the area representing the hand in a single image with a distribution feature measurement designed to describe the hand shape in the images. A hidden Markov model (HMM) based method was used to analyze the temporal variation and segmentation of continuous operational gestures. Furthermore, a transition HMM was used to represent the period between gestures, so the method could segment continuous gestures and eliminate non-standard gestures. The system can analyze 2 frames per second, which is sufficient for real time analysis.

Published in:

Tsinghua Science and Technology  (Volume:8 ,  Issue: 2 )