%0 Conference Paper
%9 Unspecified
%A Vamplew, P
%A Adams, A
%B IEEE International Conference on Neural Networks
%C Perth, Western Australia
%D 1995
%F epprod:40
%K hand motion, gesture recognition, sign language recognition, recurrent neural networks
%T Recognition and anticipation of hand motions using a recurrent neural network
%U http://eprints.utas.edu.au/40/
%X Previous work in recognition of hand gestures has concentrated on classification of hand shapes, with relatively little work done on hand motions. This paper describes a recurrent neural network which has been trained to classify sixteen different hand trajectories, including relatively complex paths such as circles and back-and-forth motions. The network's ability to anticipate the classification of an incomplete gesture is also examined, and its implications for segmentation of gestures is discussed.