Parametrized SOMs for Object Recognition and Pose Estimation
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Hand Postures for Sonification Control
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
Fingertip detection with morphology and geometric calculation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Adaptive trees and pose identification from external contours of polyhedra
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
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This paper describes the use of neural network for GREFIT (Gesture RE cognition based on Finger Tips), a system that recognizes continuous hand postures from video images. Our approach yields a full identification of all finger joint angles. This allows then a full reconstruction of the 3-D hand shape, using an artificial hand model with 16 segments and 20 joint angles. The focus of the present paper is how to employ a PSOM neural network for the inverse kinematics task to compute the angles of a hand model out of 3-D positions of the fingertips. We show that this type of neural net does not only achieve excellent results from very few training examples, but also can be applied to uncommon data structures.