سال انتشار: ۱۳۸۶

محل انتشار: چهاردهمین کنفرانس مهندسی پزشکی ایران

تعداد صفحات: ۶

نویسنده(ها):

S. Mohammad P. Firoozabadi – School of Medical Science, Tarbiat Modares University, Tehran, Iran, Department of Computer Science, University of Essex, Colchester CO4 3SQ, United Kingdom
Mohammad Reza Asghari Oskoei – Department of Computer Science, University of Essex, Colchester CO4 3SQ, United Kingdom
Huosheng Hu – Department of Computer Science, University of Essex, Colchester CO4 3SQ, United Kingdom

چکیده:

The goal of Human-Computer Interface (HCI)) (Human-Robot interface HRI) research is to provide humans with a new communication channel that allows translating Human’s will states via a computer into application specific actions. This paper presents a novel hands-free control system for controlling a virtual wheelchair, which is based on Forehead Multi-channels Bio-signals as EMG (Electromyogram) signals. In this method, new locations for three Bi-polar electrodes are selected. The Bioelectric signals are picked up from lateral sides and centre of Forehead then the Bio-signals are passed through a band pass filters. Motion control commands (forward, left, right, backward and stop) are classified by SVM method. These commands are used for controlling the virtual wheelchair by interface software in a Personal Computer.