Brain-Computer Interface (BCI) for a ROBOT

Abstract

Human-Machine interface has been one of the growing fields in R&D from past few years. Constant efforts have been made to improve the level of user-friendliness and self automation of the systems with the advent of technology. But brain-computer interface would add a new value to these efforts. This biomedical application (already initiated and under intensive research) will open new chapters in the world of automation and will help creating new communication channels for the person having severe motor disabilities. It is equally useful for military applications as well especially this technology might be developed as a tool to counter plane hijacking. This project is based upon controlling a robot navigation using the signals acquired from brain, processed such as to form a brain-computer interface. It is just similar to as a person thinks of a motor activity and it gets performed. This project is limited to implementation of few motor controls because of inherent complexity of brain waves as multiple processes are running at a time and it’s tough to determine the desired signal out of the highly damped signal received over the scalp. The procedure includes collection and analysis of brain signals via EEG machine, development of software in MATLAB for classification system by using feed-forward back propagation neural network and propagating control signals to Lego-robot via parallel port.