2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN 2016)

27 / 2016-07-20 18:58:43

EEG based Brain Computer Interface Technology for Disabled

10961,5132,10962,8096

There are significant number of people suffering from severe motor disabilities due to various causes like high cervical injuries, cerebral palsy and multiple sclerosis. In these cases the communication systems based on brain activities can play an important role in providing a new form of communication and control to these people for interacting with their environment without a continued assistance.
This work aims at providing a communication channel in the form of brain computer interface (BCI) system to people who undergo a severe loss of motor function as a result of various accidents and/or diseases, so that they can control and interact better with the external environment. In this BCI system Ag/Agcl electrode cap is fitted over the scalp on human subjects to record electrical activity of the brain and then RMS 32 channel Electroencephalographic (EEG) data acquisition system is used to amplify the biomedical signals. The signals recorded from different human subjects are converted into excel sheets using a software. These converted excel sheets are processed using similarity matching algorithm to compare event related potential pattern on MATLAB. Depending on this data, various action like switching ON and OFF of bulb or fan is performed using relays. Arduino microcontroller is used for controlling.