Using surface electromyography for gesture detection

Abstract

In this article, we present our current application research regarding measurement and processing of Electromyography data subsequently used for gesture detection. The rehabilitation area has been experiencing a huge progress in recent years. This is due to an increase in the number of patients with various types of disability, technological advance and large number of available devices. One of the rehabilitation sub-areas is the rehabilitation of patients with motor impairment.This type of rehabilitation often involves different virtual reality or augmented reality systems. Such systems are in need of accurate, inexpensive and user-friendly devices acting as controllers. In this paper we propose a system controlled via electromyography. This system is designed to aid rehabilitation of patients with impaired finger control and movements. The electromyography data are measured by Myo bracelet, processed and classified by support vector machines classifier during the offline training.