An Overview of Controlling Vehicle Direction Using Brain Rhythms

Sweta VM, Sunita P Sagat, Manisha Mali

Abstract: In recent years, lot many research activities have taken place in the field of EEG based BCI. Recent experiments have shown that this application finds good potential for disabled people where driving becomes an impossible task. This paper discusses potential of BCI application for controlling vehicle direction, its effectiveness and probable issues. This system works on EEG signals on MATLAB platform. This is implemented by signal acquisition, filtering, feature extraction and their classification on the basis of command given.

Keywords: BCI-Brain Computer Interface, EEG Electroencephalography, DWT-Discrete Wavelet Transform, SVMsupport vector Machine, ZPF-Zero phase filtering

How to Cite?: Sweta VM, Sunita P Sagat, Manisha Mali, "An Overview of Controlling Vehicle Direction Using Brain Rhythms", Volume 5 Issue 3, March 2016, International Journal of Science and Research (IJSR), Pages: 411-415, https://www.ijsr.net/getabstract.php?paperid=NOV161869, DOI: https://dx.doi.org/10.21275/NOV161869