Active shape model-based user identification for an intelligent wheelchair
P. Jia, Huosheng Hu · International Journal of Advanced Mechatronic Systems · 2009
Recently, some novel human-machine interfaces (HMI) have been created for disabled and elderly people to control intelligent wheelchairs (IW) using facial and head gestures. To operate a wheelchair in this new visual-based control mode, user identification should be conducted beforehand. Rather than traditional user identification that requires the user to input his/her username and password by typing, the state-of-the-art biometric-based user identification provides a more convenient way for the disabled users. This paper first elaborates active shape model in detail; then, video-based user identification using Mahalanobis distance is presented. As an extension, an adaptive learning module is designed to append or update the user's face record in the constructed face database. Experimental results show that our login subsystem is able to function well for a comparatively small face database.