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2009 Technical Reports

Examining the feasibility of face gesture detection using a wheelchair mounted camera

Gregory Fine and John K. Tsotsos

Technical Report CSE-2009-04

York University

May 27 2009


The user interface of existing autonomous wheelchairs concentrates on direct control of the wheelchair by the user using mechanical devices or various hand, head or face gestures. Such interfaces have several drawbacks, including extreme complexity of controlling a sophisticated autonomous wheelchair and unsuitability for some users. To overcome these problems, this paper proposes a user monitoring system for an autonomous wheelchair. The feedback of the user and the information about the actions of the user, obtained by such a system, will be used by the autonomous wheelchair for planning of its future actions. As a first step towards creation of the monitoring system, this work proposes and examines the feasibility of a system that is capable of recognizing static facial gestures of the user using a camera mounted on a wheelchair. The prototype of such a system has been implemented and tested, achieving 90% recognition rate with 6% false positive and 4% false negative rates.

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