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REAL TIME BRAIN COMPUTER INTERFACE SYSTEM for CONTROL APPLICATION

. Noor A. H. Jabeer #T


Abstract

The progress of the technology may be a saviour for the people in the daily lives. In several human life stages, genetic or accidental disorders can take place where brain functions normally, but the motor nerves aren’t working. We are trying to Develop a technology which may be a savior for the people in the daily lives. This project includes a description of a brain-controlled robot, on the basis of the Brain–computer interfaces (BCI), which can be defined as systems which are capable of by-passing the traditional communication channels (in other words, thoughts and muscles) for providing direct control and communication between the brain and the physical devices through the translation of a variety of brain activity patterns to commands in the real time, with those commands, the mobile robot may be controlled. In this project, the wave signals of the brain are analysed and based on an eye Blink. Different properties of the eye blink may be utilized for a variety of the commands, like frequency, time duration, and strength. Through it, the robot’s direction is regulated. First, we acquires the signals from the brain by used the NeuroSky mind wave sensor to obtain the eye blinks information by recording the EEG signal . EEG signals from Mind wave Mobile are transferred to a laptop via Bluetooth and stored there . We performed pre-processing of the EEG signals recorded. Then we extract the features from the EEG signals. In the next step, we performed classification of the signals recorded using the extracted features. And then the classified features are translated into commands by the Arduino microcontroller, through which the robot will be controlled. 
 

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