Experimental Study of Electrical Wheelchair Usage Using Myoelectric Signals Control for User With Disability

Paralysis leads to loss of motor or sensory function, and electric wheelchairs help restore mobility. With advancing technology, electric wheelchairs can now be controlled using myoelectric signals from muscles like the carpi radialis. This research focused on testing the performance of electric wheelchairs controlled by myoelectric signals based on the user's intention. Subjects with disabilities performed various scenarios to move the wheelchair, achieving a 92.22% accuracy in classifying motion commands. A PID control system was suggested to maintain wheelchair balance and speed. However, further development is needed for motion command classification, especially for users with cerebral palsy and hemiplegia. The findings support future advancements in electric wheelchairs for disabled patients.