Recognition and anticipation of hand motions using a recurrent neural network
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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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|
|Deposited By:||utas eprints|
|Deposited On:||12 Aug 2004|
|Last Modified:||18 Jul 2008 19:37|
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