Visual processes for tracking and recognition of hand gestures
Résumé
This paper describes experiments with techniques for tracking hands and recognizing gestures. Complementary techniques are presented for detecting and tracking hands and tools. These techniques are integrated within a system which uses multiple image processing techniques to estimate the position and orientation of a hand. Images of the tracked hand are normalized in orientation and position and then projected into a principal components space. Hand configurations are represented using a probabilistic classification. Gestures are recognized in this space as sequences of hand configurations using finite state machines. 1 Direct Manipulation of Objects as an Interaction Modality Human gesture serves three functional roles [4]: semiotic, ergotic, and epistemic. The semiotic function of gesture is to communicate meaningful information. The structure of a semiotic gesture is conventional and commonly results from shared cultural experience. The good-bye gesture, the American sign language... (http://www-prima.imag.fr/Prima/Homepages/jlc/papers/PUI97.Crowley.pdf)