Virtual electric wheelchair controlled by electromyographic signals

Assistive technology is dedicated to people who suffers from disabilities or pathologies that limit their daily life. It provides support in alternative communication, accessibility, mobility and cognitive domains. An example of this type of technology is the electric wheelchair that allows the person to move more freely and independently. However, most models are operated with a joystick, limiting their use to those who can manipulate it. Electromyographic signals can be used as an alternative method for controlling the vehicle by people with severe motor disabilities. Virtual simulators are good tools for testing different types of control and teaching future users how to drive it before moving on to a real model. This paper presents an electromyography system adapted for controlling a virtual electric wheelchair simulator by using facial muscles. The designed system was successfully tested by a volunteer in a pilot study, providing an alternative way for controlling a wheelchair by users who can't operate a joystick.