%0 Journal Article
%T Robust Bio-Signal Based Control of an Intelligent Wheelchair
%A Xiaodong Xu
%A Yi Zhang
%A Yuan Luo
%A Dongyi Chen
%J Robotics
%D 2013
%I MDPI AG
%R 10.3390/robotics2040187
%X In this paper, an adaptive human-machine interaction (HMI) method that is based on surface electromyography (sEMG) signals is proposed for the hands-free control of an intelligent wheelchair. sEMG signals generated by the facial movements are obtained by a convenient dry electrodes sensing device. After the signals features are extracted from the autoregressive model, control data samples are updated and trained by an incremental online learning algorithm in real-time. Experimental results show that the proposed method can significantly improve the classification accuracy and training speed. Moreover, this method can effectively reduce the influence of muscle fatigue during a long time operation of sEMG-based HMI.
%K intelligent wheelchair
%K sEMG
%K incremental support vector machine
%K human-machine interaction
%U http://www.mdpi.com/2218-6581/2/4/187