TOWARD 3-D GESTURE RECOGNITION
JAMES DAVIS, Mubarak A. Shah · International Journal of Pattern Recognition and Artificial Intelligence · 1999
This paper presents a glove-free method for tracking hand movements using a set of 3-D models. In this approach, the hand is represented by five cylindrical models which are fit to the third phalangeal segments of the fingers. Six 3-D motion parameters for each model are calculated that correspond to the movement of the fingertips in the image plane. Trajectories of the moving models are then established to show the 3-D nature of the hand motion.