Visual Intention Detection for Wheelchair Motion

Authors:
T. Luhandjula;E. Monacelli;Y. Hamam;B. J. Wyk;Q. Williams
Affiliations:
French South African Technical Institute in Electronics at the Tshwane University of Technology, Pretoria, RSA and Meraka Institute at the Council for Scientific and Industrial Research, Pretoria, ...;LISV Laboratory, Université de Versailles St-Quentin-en-Yvelines, France;French South African Technical Institute in Electronics at the Tshwane University of Technology, Pretoria, RSA;French South African Technical Institute in Electronics at the Tshwane University of Technology, Pretoria, RSA;Meraka Institute at the Council for Scientific and Industrial Research, Pretoria, RSA
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Year:
2009

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Abstract

This paper describes a visual interface that recognizes the command request of a person by inferring the intention to travel in a desired direction at a certain speed from the person's head movements. A rotation and a vertical motion indicate the intent to change direction and speed respectively. The context for which this solution is intended is that of wheelchair bound individuals. This paper describes work in progress that provides a proof of concept tested on static images. Results show that the symmetry property of the head can be used to detect a change in its position and can therefore serve as a visual intent indicator. The solution described in this paper, focusing on the specific task of head pose estimation, intends to provide a contribution to the realisation of an enabled environment allowing people with severe disabilities and the elderly to be more independent and active in society.