Abstract. In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is...
Francisco Escolano, Miguel Cazorla, Domingo Gallar...
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
We present a system for generation and recognition of oscillatory gestures. Inspired by gestures used in two representative human-tohuman control areas, we consider a set of oscil...
Charles J. Cohen, Lynn Conway, Daniel E. Koditsche...
Abstract. We present a HMM based system for real-time gesture analysis. The system outputs continuously parameters relative to the gesture time progression and its likelihood. Thes...
This paper compares different algorithms for tracking the position of fingers in a two-dimensional environment. Four algorithms have been implemented in EyesWeb, developed by DIS...