Communication Tool for Disabled People Based on Surface Electromyography

Abstract

Surface electromyography is a non-invasive method, which can be used not only for measuring and detecting abnormalities in the human body but also to create biofeedback in rehabilitation. This biofeedback can connect rehabilitation and computer science. Our research is aimed to create biofeedback using surface electromyography, which can help communication for disabled people. For this purpose, we created a simple communication tool, which is based on surface electromyography. Our proposed biofeedback is designed by Arduino Uno with the SpikerShield board, which is responsible for acquiring EMG signals. The software part of our biofeedback is formed in Arduino IDE and the graphical interface was composed in programming language C#. Our proposed communication tool is based on the intensity of muscle activity recorded from the muscle of interest.