Brain Computer Interface Based Real Time Control of Wheelchair using Electroencephalogram
Vijay Khare1, Jayashree Santhosh2, Sneh Anand3, Manvir Bhatia4
1Vijay Khare, Department of Electronics and Communications Engineering, Jaypee Institute of Information Technology, Universit, Noida, India.
2Dr. Jayashree Santosh, Computer Services Centre, Indian Institute of Technology, Delhi, India.
3Prof. Sneh Anand, Centre for Biomedical Engineering (CBME), Indian Institute of Technology, Delhi, India.
4Dr. Manvir Bhatia, Chairperson of Department of Sleep Medicine, Sir Ganga Ram Hospital, New Delhi, India.
Manuscript received on October 01, 2011. | Revised Manuscript received on October 17, 2011. | Manuscript published on November 05, 2011. | PP: 41-45 | Volume-1 Issue-5, November 2011. | Retrieval Number: E0143081511/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this study, eight electrodes were to capture Electroencephalogram (EEG) from the brain to build a brain computer interface (BCI) based real time control for wheelchair to help the severely handicapped persons. To achieve this goal Wavelet Packet Transform (WPT) was used for feature extraction of the relevant frequency bands from EEG signals. Radial Basis Function network was used to classify the pre defined movements such as rest, forward, backward, left and right of the wheelchair. The experiment results confirmed that this system can provide a convenient manner to real time control a wheelchair.
Keywords: Electroencephalogram (EEG), Wavelet Packet Transform (WPT), Radial Basis Function neural network (RBFNN), Brain computer interface (BCI), Rehabilitation, and Wheelchair Controller.