Real-Time Hand Gesture Recognition and Device Controlling System based on sEMG Signal

A large number of impairments and disabilities in human body are increasing day by day because of different reasons like accidents, age, paralysis attack, etc. So disabilities increase in human body and also dependency on other people the quality of life decreasing day by day. The disabled or aged people need caretaker to take care of them and to help them to do movement. So, they always need someone around them to take care of them. To improve the quality of life of the disabled or aged people researchers think on the necessity of simple and natural human-machine control interface. The EMG based hand gesture can help to develop good machine interface that increases the quality of life of the disabled or aged people [5]. Different biomedical signals acquired from tissues, organ or cell system like the nervous system in human body for gesture recognition. The biomedical signals include Electro-Encephalogram (EEG), Electrooculogram (EOG), and Electromyogram (EMG). To develop simple, user friendly, robust, efficient interfacing systems or devices for the disabled sEMG signals are used. A sEMG signal based controller or interfacing system enables the physically disabled or aged people to use personal computer, prosthetic devices, robots etc. This paper presents an embedded platform for real-time hand gesture recognition and device controlling system based on sEMG signal. Firstly sEMG signal is acquired from human body and then the from acquired signal hand gesture is recognized. By using the recognized hand gesture the disabled or aged people control different devices like home appliances, wheelchair, etc. Hand gesture recognition and device controlling system based on sEMG signal is user friendly and easy to build system.