Abstract: A Brain-Computer-Interface (BCI) based system with a System on a Programmable Chip (SOPC) platform by using of the Steady-State Visually Evoked Potentials (SSVEP) through a Bluetooth interface was proposed in this paper. The proposed BCI system can aid the Amyotrophic Lateral Sclerosis (ALS) or other paralyzed patients to easily control an electric wheelchair in their live. The electroencephalogram (EEG) signals may be detected by electrodes and extracting chip when the patients gazed a flickered target with a specific frequencies. Then these signals can be transformed by FFT into frequency domain and then transmitted to the hardware of electric wheelchair by using of Bluetooth interface. Finally, the electric wheelchair can be moved smoothly in accordance with commands converted by the frequencies of the EEG signal. The experimental results had shown that the proposed system can easily control electric wheelchairs.

Jzau-Sheng Lin and Cheng-Hung Shieh, “An Ssvep-Based Bci System and its Applications” International Journal of Advanced Computer Science and Applications(IJACSA), 5(10), 2014. http://dx.doi.org/10.14569/IJACSA.2014.051009

@article{Lin2014,
title = {An Ssvep-Based Bci System and its Applications},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.051009},
url = {http://dx.doi.org/10.14569/IJACSA.2014.051009},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {10},
author = {Jzau-Sheng Lin and Cheng-Hung Shieh}
}