A Survey on Brain Controlled Car Using EEG

Authors(2) :-Neethal Ephram, Dr. M. Rajeswari

Thought is major human movement, which can be perceived by investigating brain signals. Electroencephalography (EEG) is an electrophysiological observing technique to record electrical action of the cerebrum. EEG measures voltage variances resulting from ionic current inside the neurons of the mind for which the EEG signals are isolated into frequency bands that are generally good indicators for different states and types of activities. EEG is a capable instrument for following mind changes amid various periods of life. EEG investigations, including both resting state and occasion related incitement conventions, might be valuable to redress the quantity of neurological issue and irregularities. Appraisal of feelings, which are typically self-revealed. Such sort of self-announced evaluation may be erroneous, and even conflicting. Electroencephalography (EEG) is said to be a non-intrusive cerebrum machine interface, which make utilization of neurophysiological signs from the mind to outside machines without surgery. The less-intrusive EEG signals, caught from the central nervous system, have been used for investigating emotions.

Authors and Affiliations

Neethal Ephram
Department of CSE, UG Scholar, Sahrdaya College of Engineering and Technology, Kerala, India
Dr. M. Rajeswari
Associate Professor, Department of CSE, Sahrdaya College of Engineering and Technology, Kerala, India

Electroencephalogram (EEG), NeuroSky headset, BCI

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 421-423
Manuscript Number : IJSRSET173170
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Neethal Ephram, Dr. M. Rajeswari, " A Survey on Brain Controlled Car Using EEG, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 1, pp.421-423, January-February-2017.
Journal URL : http://ijsrset.com/IJSRSET173170

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