MUSCLE SIGNAL CONTROLLED WHEEL CHAIR

Abstract: This project discusses about a brain controlled wheel chair based on Brain–computer interfaces (BCI). BCI‟s are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. The intention of the project work is to develop a robot that can assist the disabled people in their daily life to do some work independent of others. Here, we analyze the brain wave signals. Human brain consists of millions of interconnected neurons, the pattern of interaction between these neurons are represented as thoughts and emotional states. According to the human thoughts, this pattern will be changing which in turn produce different electrical waves. A muscle contraction will also be generating a unique electrical signal. All this electrical waves will be sensed by the brain wave sensor and the different pattern is used for controlling a wheel chair.

Keywords: Brain-computer interfaces (BCI), Wheelchair control, Brain wave signals, Real-time control „ EEG sensor technology.