Work

Automatic Recognition of Head Movement Gestures in Sign Language Sentences

Year: 2009

Type: article

Abstract: A novel system for the recognition of head movement \ngestures used to convey non-manual information in \nsign language is presented. We propose a framework for \nrecognizing a set of head movement gestures and identifying \nhead movements outside of this set. Experiments show our \nproposed system is capable of classifying three different head \nmovement gestures and identifying 15 other head movements as \nmovements which are outside of the training set. In this paper \nwe perform experiments to investigate the best feature vectors \nfor discriminating between positive a negative head movement \ngestures and a ROC analysis of the systems classifications \nperformance showed an area under the curve measurement \nof 0:936 for the best performing feature vector.

Source: Maynooth University ePrints and eTheses Archive (Maynooth University)

Authors: Daniel Kelly, Jane Reilly Delannoy, John McDonald, Charles H. Markham

Institution: National University of Ireland, Maynooth

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Irish Research Council for Science, Engineering and Technology, Irish Research Council

OpenAlex ID: W657535616