40 4 archive 4 disk0/00/00/00/40 2004-08-12 2008-07-18 09:37:07 2008-07-16 15:40:18 conference_item show Vamplew P Adams A pub 280200 public NULL paper hand motion, gesture recognition, sign language recognition, recurrent neural networks 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. 1995 published IEEE International Conference on Neural Networks Perth, Western Australia 27 November - 1 December 1995 conference TRUE 321 1 40 1 application/pdf en public cc_utas

handmotion-icnn95.pdf

handmotion-icnn95.pdf 88202 http://eprints.utas.edu.au/40/1/handmotion-icnn95.pdf