Electroencephalogram based Brain Computer Interface System Analysis
Parth Agrawal1, Parul Khanna2, Beaulah Soundarabai P3, Niju P Joseph4
1Parth Agrawal, CHRIST Deemed to be University, Bangalore (Karnataka), India.
2Parul Khanna, CHRIST Deemed to be University, Bangalore (Karnataka), India.
3Dr. Beaulah Soundarabai P, CHRIST Deemed to be University, Bangalore (Karnataka), India.
4Dr. Niju P Joseph, CHRIST Deemed to be University, Bangalore (Karnataka), India.
Manuscript received on 12 January 2020 | Revised Manuscript received on 08 February 2020 | Manuscript Published on 20 February 2020 | PP: 432-439 | Volume-9 Issue-3S January 2020 | Retrieval Number: C10920193S20/2020©BEIESP | DOI: 10.35940/ijitee.C1092.0193S20
Open Access | Editorial and Publishing Policies | Cite | Zenodo | Indexing and Abstracting
© The Authors. 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: Electroencephalogram is the study of electrical signals of the brain recorded using a mesh like structure containing electrodes that is placed on the scalp. The history of EEG dates more than a century back, when the brains of rabbits and monkeys were studied and almost 50 years later in the year 1924, the first ever brain activity of human was noted by famed psychiatrist and physiologist Hans Berger from Germany. EEG based systems that can communicate with the brain are categorized as Brain Computer Interface i.e. BCI. The electrodes read the brain signals, amplifies them in order to be studied more accurately by the machine send them to machine after converting it into digital form. With the recent changes in technology better electrodes are being used which can catch highly sensitive signals as well. EEG based BCI systems can change the world for many people as it holds so much power if thought properly. This paper reviews the EEG functioning and some innovations in BCI and also proposes ideas about potential help for people suffering from hearing and speech impairment.
Keywords: Brain-Computer Interface, EEG, fMRI, BCI, EEG-fMRI Fusion, MEG.
Scope of the Article: Computer Science and Its Applications