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Recognition and anticipation of hand motions using a recurrent neural network

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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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Keywords: hand motion, gesture recognition, sign language recognition, recurrent neural networks
Date Deposited: 12 Aug 2004
Last Modified: 18 Nov 2014 03:10
URI: http://eprints.utas.edu.au/id/eprint/40
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