Library Open Repository
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.
handmotion-icnn95.pdf | Download (88kB)
Available under University of Tasmania Standard License.
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|
|Item Statistics:||View statistics for this item|
Repository Staff Only (login required)
|Item Control Page|