A hybrid human-machine interface for hands-free control of an intelligent wheelchair Online publication date: Thu, 26-Mar-2015
by Lai Wei, Huosheng Hu
International Journal of Mechatronics and Automation (IJMA), Vol. 1, No. 2, 2011
Abstract: This paper presents a novel hybrid human-machine interface (HMI) designed for hands-free control of electric powered wheelchairs. Both forehead electromyography (EMG) signals and colour face image information are deployed to identify winking and jaw clenching movements of human face. Five winking and jaw clenching movement patterns are selected and classified, mapping into six control commands to drive an electric powered wheelchair in an indoor environment. Six subjects participated in the experiments and the experimental results show that the proposed control scheme have potential applicability to accommodate various individual cases and achieve good performance.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mechatronics and Automation (IJMA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com