A. F. M. Saifuddin Saif; MD. Ryhan Hossain; Redwan Ahmed; Tamanna Chowdhury

A Review based on Brain Computer Interaction using EEG Headset for Physically Handicapped People

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Author(s)

A. F. M. Saifuddin Saif ^1,* MD. Ryhan Hossain ¹ Redwan Ahmed ¹ Tamanna Chowdhury ¹

1. Department of Computer Science, Faculty of Science and Technology, American International University – Bangladesh (AIUB)

* Corresponding author.

DOI: https://doi.org/10.5815/ijeme.2019.02.04

Received: 21 Oct. 2018 / Revised: 27 Nov. 2018 / Accepted: 17 Dec. 2018 / Published: 8 Mar. 2019

Index Terms

Brain Computer Interface (BCI), Brain Wave, Electroencephalography (EEG), Artificial Neural Network (ANN)

Abstract

The universes’ most complex structure is the human brain. To analyze its characteristics, many studies and experiments have been carried out in a proper and systematic manner. From these researches and experiments, scientists have learnt to communicate with computer using brain and hence, BCI has been developed. A Brain-Computer Interface (BCI) provides a communication path between the human brain and the computer system. With the advancement of information technology and neuroscience, there has been a flow of interest in turning fiction into reality. This research investigated existing works of BCI with the purpose developing a system that allows physically challenged people to communicate with other persons and helps to interact with the external environments with the help of computers. Components like, comparison of invasive and non-invasive technologies to measure brain activity, evaluation of control signals (i.e. patterns of brain activity or brain waves that can be used for communication), development or improvement of algorithms for translation of brain signals into computer commands, specific frequency components like electroencephalography (EEG), artificial neural network (ANN) etc. are used to accomplish such a feat. With such, the developments of new BCI applications are emerging every day.

Cite This Paper

A F M Saifuddin Saif, MD. Ryhan Hossain, Redwan Ahmed, Tamanna Chowdhury,"A Review based on Brain Computer Interaction using EEG Headset for Physically Handicapped People", International Journal of Education and Management Engineering(IJEME), Vol.9, No.2, pp.34-43, 2019. DOI: 10.5815/ijeme.2019.02.04

Reference

[1]S. B, Akshaya T, K. K, and Anbarasu V, “Controlling Computer Operations using Brain-Wave Computing”, International Journal of Computational Engineering Research, vol. 4, pp. 76–81, 2014.

[2]R. Hundia, “Brain Computer Interface-Controlling Devices Utilizing The Alpha Brain Waves”, International Journal of Scientific & Technology Research, vol. 4, no. 1, pp. 281–285, 2015.

[3]Ramesh C R, L. B. Das, “Brain Computer Interface Based Assistive Device”, 2015 Int. Conf. Adv. Comput. Commun. Informatics, pp. 330–334, 2015.

[4]M. Computing, G. Ambica, and B. Sujatha, “STUDY AND APPLICATION OF BRAIN WAVES (ALPHA , BETA ) FOR USER AMBIENT ENVIRONMENT CONTROL”, vol. 4, no. 10, pp. 197–200, 2015.

[5]J. Katona, I. Farkas, T. Ujbanyi, P. Dukan, and A. Kovari, “Evaluation of the NeuroSky MindFlex EEG headset brain waves data”, SAMI 2014 - IEEE 12th Int. Symp. Appl. Mach. Intell. Informatics, Proc., pp. 91–94, 2014.

[6]S. Pushpa, C. N. S, and P. G. Student, “EEG based Brain-Computer Interface for Controlling Home Appliances”, Int. J. Innov. Res. Sci. Eng. Technol. (An ISO Certif. Organ., vol. 3297, no. 6, pp. 9870–9877, 2007.

[7]V. Rajesh and K. O. Joseph, “Brain Controlled Mobile Robot Using Brain Wave Sensor”, pp. 77–82,2004.

[8]B. Sujatha and G. Ambica, “EEG Based Brain Computer Interface for Controlling Home Appliances”, Int. Res. J. Eng. Technol., pp. 2395–56, 2015.

[9]S. G. Mason and G. E. Birch, “A general framework for brain-computer interface design”, IEEE Trans. Neural Syst. Rehabil. Eng., vol. 11, no. 1, pp. 70–85, 2003.

[10]Mr. Ramesh C R, Prof. L. B. Das, “Brain Computer Interface Device for Speech Impediments”, 19-21 November 2015, Int. Conf. on Controll, Communication & Computing India (ICCC).

[11]P. Kumar, R. Saini, P. K. Sahu, P. P. Roy, D. P. Dogra, and R. Balasubramanian, “Neuro-phone: An assistive framework to operate Smartphone using EEG signals”, 2017.

[12]N. R. Folane, R. M. Autee “EEG Based Brain Controlled Wheelchair for Physically Challenged People”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 4, Issue 1, January 2016.

[13]J. Svejda, R. Zak, R. Senkerik, and R. Jasek, “Using Brain - Computer Interface for Control Robot Movement”, vol. 8, no. Cd, 2015.

[14]A. L. S. Ferreira, L. C. de Miranda, E. E. C. de Miranda, and S. G. Sakamoto, “A Survey of Interactive Systems based on Brain-Computer Interfaces”, SBC J. Interact. Syst., vol. 4, no. 1, pp. 3–13, 2013.

[15]U. Hoffmann, J. M. Vesin, T. Ebrahimi, and K. Diserens, “An efficient P300-based brain-computer interface for disabled subjects”, J. Neurosci. Methods, vol. 167, no. 1, pp. 115–125, 2008.

[16]Emily Mugler, Michael Bensch, Sebastian Halder, Wolfgang Rosenstiel, Martin Bogdan, Niels Birbaumer, Andrea Kübler, “Control of an Internet Browser Using the P300 Event-Related Potential”, International Journal of Bioelectromagnetism, Vol. 10, No. 1, pp. 56 - 63, 2008.

[17]Kale Swapnil T, Mahajan Sadanand P, Rakshe Balu G, Prof. N.K.Bhandari, “Robot Navigation control through EEG Based Signals”, International Journal Of Engineering And Computer Science, ISSN:2319-7242, Volume 3, Issue 3, Page No. 5109-5113, March-2014.

[18]Praveen kumar, M.Govindu, A.Rajaiah, “Automatic Home Control System Using Brain Wave Signal Detection”, IJESC, ISSN-2321-3361, 2014.

[19]Wei Tuck Lee, Humaira Nisar, Aamir S. Malik, Kim Ho Yeap, “A Brain Computer Interface for Smart Home Control”, 2013 IEEE 17th International Symposium on Consumer Electronics (ISCE).

[20]Madhu Nakirekanti, Dr. Raja Murali Prasad, Eliyaz Mahammad, K. Narsimha Reddy, “BRAIN WAVE CONTROLLED ROBOT USING MATLAB”, International Journal of Mechanical Engineering and Technology (IJMET), Volume 8, Issue 12, pp. 750–759, Article ID: IJMET_08_12_081, December 2017.

[21]R. ChandanaPriya, K. Aparna, “MIND WAVE SENSOR CONTROLLED WHEEL CHAIR”, International Journal of Advance Engineering and Research Development, Volume 4, Issue 9, September -2017.

[22]Srinath Vikramakumar and Dr. V. Dhanakoti, “Mind wave Based Gaming Controller Using User Friendly EEG Signal Acquisition”, International Journal of Innovations & Advancement in Computer Science, ISSN 2347 – 8616, Volume 6, Issue 11, November 2017.

[23]Dipti Pawar, Kapil Kamale, Ishaan Singh, Vishwajeet Kharote, Prajwal Goswami., “A Survey on Thoughts to Text Using Brainwave Patterns”, International Journal of Innovative Research in Computer And Communication Engineering, Vol. 5, Issue 5, May 2017.

[24]S. Naresh Babu, G. Nagarjuna Reddy, “AN INTELLIGENT ROBOT CONTROL USING EEG TECHNOLOGY”, International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 4, Issue 3, March 2015.

[25]T. Prasanth, P. Dharma Teja, K. DasmanthaRao, M. N. Shyam Kumar, M. Rama Krishna, “CONTROLLING OF ROBOT USING BRAIN SIGNALS WITH MATLAB”, SSRG International Journal of Computer Trends and Technology (IJCTT), ISSN: 2231-2803, Special Issue, April 2017.

[26]B. Sivakumar and K. Srilatha, “A novel method to segment blood vessels and optic disc in the fundus retinal images”, Res. J. Pharm. Biol. Chem. Sci., vol. 7, no. 3, pp. 365–373, 2016.

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