A geometric investigation of reach
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Recognition of sign language motion images
Pattern Recognition
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Computers in Biology and Medicine
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This paper describes a new method which employs a hand model and static stereo video images to automatically analyze hand posture. A model-based framework is proposed in which the movement of the hand model is guided by internal constraints and external driving forces derived from the video images. The internal constraints were formalized based on anatomical data of the human hand and then incorporated into the model. To transform the hand model to an image having the posture of a real hand, characteristic points on the hand are identified from the images, and virtual springs are implied which pull the characteristic points on the hand model to goal positions. Experimental results are presented showing hand shapes of letters used in American Sign Language.