creators_name: Vamplew, P
creators_name: Adams, A
type: conference_item
datestamp: 2004-08-12
lastmod: 2008-07-18 09:37:07
metadata_visibility: show
title: Recognition and anticipation of hand motions using a recurrent neural network
ispublished: pub
subjects: 280200
full_text_status: public
monograph_type: NULL
pres_type: paper
keywords: hand motion, gesture recognition, sign language recognition, recurrent neural networks
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.
date: 1995
date_type: published
event_title: IEEE International Conference on Neural Networks
event_location: Perth, Western Australia
event_dates: 27 November - 1 December 1995
event_type: conference
refereed: TRUE
citation: 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.
document_url: http://eprints.utas.edu.au/40/1/handmotion-icnn95.pdf