title: Recognition and anticipation of hand motions using a recurrent neural network
creator: Vamplew, P
creator: Adams, A
subject: 280200 Artificial Intelligence and Signal and Image Processing
description: 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.
date: 1995
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
identifier: http://eprints.utas.edu.au/40/1/handmotion-icnn95.pdf
identifier: 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.
relation: http://eprints.utas.edu.au/40/