http://eprints.utas.edu.au/40/ Recognition and anticipation of hand motions using a recurrent neural network Vamplew, P Adams, A 280200 Artificial Intelligence and Signal and Image Processing 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 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utas.edu.au/40/1/handmotion-icnn95.pdf Vamplew, P and Adams, A (1995) Recognition and anticipation of hand motions using a recurrent neural network. In: IEEE International Conference on Neural Networks, 27 November - 1 December 1995, Perth, Western Australia. http://eprints.utas.edu.au/40/http://eprints.utas.edu.au/40/1/