Design of Hybrid BCI using Multimodal EEG for Robotic Application

Abstract

Over the past decade, many laboratories have begun to explore brain-computer interface (BCI) technology as a radically new communication option for those with neuromuscular impairments that prevent them from using conventional augmentative communication methods. BCI's provide these users with communication channels that do not depend on peripheral nerves and muscles. Moving something without touching. It has always something attractive for every person, speech recognition & head movement is being the common methods. In recent technology consider imagination of people. The main thing has to control peripheral by brain activities. Electrical activity of brain is magic. A brain (BCI) is a system which allows direct translation of brain state into action. A BCI system works by extracting user brain signals, applying machine learning algorithm to classify the users brain state &performing a computer controlled action.