Brain Computer Interface and its Applications – A Review

Article Sidebar

PDF
Published: Jun 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i5.3440
Keywords:
Brain Computer Interface, BCI System, BCI Hardware and Software, BCI Applications.

Main Article Content

sanjana mahajan
Guru nanak Dev Unversity

Abstract

Brain Computer Interface(BCI) is a emerging research topic nowadays for researchers. Its significant addition ranging from medical applications to education, research area , marketing, games and entertainment etc. BCI provides a channel between brain of living creature and external machine. It is a process in which brain accepts a mechanical device either by invasive method or non-invasive method as its natural part and by processing of signals, various applications are evolved and created. This paper shows the system of BCI, hardware and software components of BCI with its huge applications like wheelchair, bionic eye, honda’s robot etc. At the end of this paper future work in BCI are discussed.

Downloads

Download data is not yet available.

Article Details

Issue
Vol. 8 No. 5 (2017): May-June 2017
Section
Articles

COPYRIGHT

Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
  • The journal allows the author(s) to retain publishing rights without restrictions.
  • The journal allows the author(s) to hold the copyright without restrictions.

References

Nasim Alamdari, Ali Haider, Riadh Arefin, Ajay K.Verma, Kouhyar Tavakolian, “A Review of Methods and Applications of Brain Computer Interface Systemsâ€, 2016 IEEE International Conference on Electro Information Technology (EIT), pp.0345-0350, 2016.

Mashael M. AlSaleh, Mahnaz Arvaneh, Heidi Christensen and Roger K. Moore,†Brain- Computer Interface Technology for Speech Recognition: A Reviewâ€, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016 Asia-Pacific

Gui XUE, Chuansheng CHEN, Zhong-Lin LU, and Qi DONG,†Brain Imaging Techniques and Their Applications in Decision-Making Researchâ€, Xin Li Xue Bao. 2010 Feb 3; pp: 120–137,2010.

Rabie A. Ramadan, S. Refat, Marwa A. Elshahed and Rasha A. Ali,†Basics of Brain Computer Interfaceâ€

http://www.brain.riken.jp/bsinews/bsinews34/no34/research1e.html

Xian-Jie, P., Tie-Jun, L., De-Zhong, Y.: Design of an EEG preamplifier for brain-computer interface. J. Electr. Sci Technol China 7(1), 56–60 (2009)

Kameswara, T., Rajyalakshmi, M., Prasad, T.: An exploration on brain computer interface and its recent trends. Int. J. Adv. Res. Artif. Intell. (IJARI) 1(8), 17–22 (2013)

Robert, O., Pascal, F., Eric, M., Jan-Mathijs, S.: FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. J. Comput. Intell. Neurosci. 2011, 156869 (2011).

Lingaratnam, S., Murray, D., Carle, A., Kirsa, S., Paterson, R., Rischin, D.: Developing a performance data suite to facilitate lean improvement in a chemotherapy day unit. J. Oncol. Pract. 9(4), 115–121 (2013)

Arindam, D., Robins, K., Suruchi, M., Sanjay, C., Alakananda, B., Anirban, D.: A low-cost point-of-care testing system for psychomotor symptoms of depression affecting standing balance: a preliminary study in india. Depression Res. Treat. 2013, 640861 (2013)

Setijadi, A., Novanda, O., Mengko, T.: Development of an experimental portable electroencephalograph (case study: alpha wave detector). International conference on electrical engineering and informatics (ICEEI), vol. 1, no. 6, pp. 17–19 (2011)

Sarah N. Abdulkader , Ayman Atia, Mostafa-Sami M. Mostafa,†Brain computer interfacing: Applications and challengesâ€, Egyptian Informatics Journal (2015) 16, pp.213–230

C.C. Postelnicu, D. Talaba, M.I. Toma,†BRAIN COMPUTER INTERFACES FOR MEDICAL APPLICATIONSâ€, Engineering Sciences, Vol. 3 (52),pp.99-106 – 2010

BrainGate - Turning Thought into Action. Available at: http://www.braingate 2.org/.

Donoghue, J.P., Hochberg, L.R., et al.: Neuromotor Prosthesis Development. In: Medicine and Health, Rhode Island 90 (2007) No. 1, p. 12-15.

Brain Computer Interface Technolog. Available at: http://sites.lafayette.edu/egrs451-sp13-burds/medical/cochlear-implants/.

The Bionic Eye, Available at: http://bionicvision.org.au/eye.

Honda's Brain-Machine Interface: controlling robots by thoughts alone, Available at: http://newatlas.com/honda-asimo-brain-machine-interface-mind-control/11379/.

T. Shashibala, Bharti W. Gawali,†Brain Computer Interface applications and classification techniquesâ€, International Journal Of Engineering And Computer Science ISSN: 2319-7242, vol.5,pp. 17260-17267,2016.

Sorudeykin KA. An educative brain-computer interface. arXivpreprint arXiv:1003.2660; 2010.

Karthikeyan DT, Sabarigiri B. Enhancement of multi-modal biometric authentication based on iris and brain neuro image coding. Int J Biometrics Bioinform (IJBB) 2011;5(5):249–56.

Szilard Bulkara, Aurel Gonteam,â€Brain-Computer Interface Reviewâ€,2016