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ACIVS
2005
Springer

A New Voting Algorithm for Tracking Human Grasping Gestures

9 years 9 months ago
A New Voting Algorithm for Tracking Human Grasping Gestures
Abstract. 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.
Pablo Negri, Xavier Clady, Maurice Milgram
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where ACIVS
Authors Pablo Negri, Xavier Clady, Maurice Milgram
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