Analysis of electromyograph (EMG) for controlling wheelchair motion

Nowadays, due to the aging of the current population, the need of wheelchair has significantly increased not only to the disabled community but also to the old citizen. However, the use of manual wheelchair is restricted to the user with leg impairment only. Yet, for the user with severe impairment (arm and leg) the smart wheelchair that controlled by the alternative user interface is necessary. Since the target of this project is for the user who has high level Spinal Cord Injury (SCI), the EMG signal from neck has been chose to trigger the wheelchair. The EMG signals are obtained using disposable electrode from neck muscles which are Sternocleidomastoid and Trapezius muscles, with different direction. For the acquisition of SEMG signal MyDAQ is used. The features are extracted from the conditioned EMG signal such as: root mean square value and mean absolute value. To classify such kind of signal, a classifier able to withstand uncertainties in data is required. So, in this work a fuzzy classifier is designed and implemented using LabVIEW software. The classifier system is tested using 10 subjects. The simulation results have authenticated the capability of implemented system.

Name dc:type.qualificationname

mphil

Level dc:type.qualificationlevel

masters

Grantor dc:publisher.institution

Universiti Tun Hussein Onn Malaysia

Year dc:date.issued

2015

Author dc:creator

• Meor Zainol, Wan Saidatulakma

• TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television

Language dc:language

en