TY  - CONF
ID  - epprod40
UR  - http://eprints.utas.edu.au/40/
A1  - Vamplew, P
A1  - Adams, A
Y1  - 1995///
N2  - 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.
KW  - hand motion
KW  -  gesture recognition
KW  -  sign language recognition
KW  -  recurrent neural networks
TI  - Recognition and anticipation of hand motions using a recurrent neural network
AV  - public
M2  - Perth, Western Australia
T2  - IEEE International Conference on Neural Networks
ER  -