A New Voting Algorithm for Human Grasping Gestures

PABLO NEGRI; XAVIER CLADY; MAURICE MILGRAM

Advanced Concepts for Intelligent Vision Systems

Lecture Notes in Computer Science 3708, Springer Berlin / Heidelberg

Lugar: Berlin; Año: 2005; p. 130 - 137

This article deals with a monocular vision system for grasping gesture acquisition. This system could be used for medical diagnostic, robot or game control. We describe a new algorithm, the Chinese Transform, for the segmentation and localization of the fingers. This approach is inspired in the Hough Transform utilizing the position and the orientation of the gradient from the image edge’s pixels. Kalman filters are used for gesture tracking. We presents some results obtained from images sequence recording a grasping gesture. These results are in accordance with medical experiments.