NIGHTMARE MAGIC – AN EXAMPLE OF USING ELECTROENCEPHALOGRAPHY AND EMOTIV EPOC HEADSET IN COMPUTER GAMES
DOI:
https://doi.org/10.24867/05BE48RadovanovicKeywords:
Electroencephalography, brain-computer interface, computer gameAbstract
Electroencephalography (EEG) recognizes the measurable electrical activity inside the brain which appears due to neural activity. In order to capture these signals sensors are placed over the scalp, and one BCI (Brain-Computer Interface) headset that uses this non-invasive technique is Emotiv EPOC, which enables application control by using thoughts or facial expressions. The aim of this paper is researching the practical application of a concrete BCI device for making a simple computer game. By measuring EEG waves and detecting facial expressions of the user magic is cast in the game Nightmare Magic, a project intended as a demo for familiarization with how Emotiv EPOC works and a starting point for future research.
References
[1] José del R. Millán, Pierre W. Ferrez, Ferran Galán, Eileen Lew, Ricardo Chavarriaga, 2007, Non-Invasive Brain-Machine Interaction, International Journal of Pattern Recognition and Artificial Intelligence Vol. XX, No. X, 1–13.
[2] Adlakha Amit, 2002, Single Trial EEG Classification. Swiss Federal Institute of Technology.
[3] Aatif M. Husain, Saurabh R. Sinha, Continuous EEG Monitoring: Principles and Practice, pp. 6.
[4] Volker Straebel, Wilm Thoben, 2014, Alvin Lucier's music for solo performer: experimental music beyond sonification, Organised Sound, 19 (1): 17–29.
[5] Vidal J., 1973, Toward direct brain-computer communication, Annual Review of Biophysics and Bioengineering, 2 (1): 157–80.
[6] Birbaumer N. et al., 2000, The Thought Translation Device (TTD) for Completely Paralyzed Patients, IEEE Transactions on Rehabilitation Engineering, Volume 8, No. 2, pp. 190-193.
[7] Galán F. et al, 2008, A Brain-Actuated Wheelchair: Asynchronous and Non-invasive Brain-Computer Interfaces for Continuous Control of Robots, Clinical Neurophysiology, Volume 119, Issue 9, pp. 2159-2169.
[8] Drummond K., 2009, Pentagon Preps Soldier Telepathy Push, Wired Magazine.
[9] Niedermeyer, Ernst and da Silva, Fernando Lopes, 2005, Electroencephalography: Basic Principles, Clinical Applications and Related Fields, Fifth Edition, Lippincott Williams & Wilkins, pp 140.
[10] Nunez PL., Srinivasan R., 1981, Electric Fields of the Brain: The Neurophysics of EEG, Oxford University Press.
[11] Rowan A. James, 2003, Primer of EEG, Elsevier Science, Philadelphia, PA.
[12] Emotiv getting started guide, version 3.5.0., EMOTIV Inc 2017.
[2] Adlakha Amit, 2002, Single Trial EEG Classification. Swiss Federal Institute of Technology.
[3] Aatif M. Husain, Saurabh R. Sinha, Continuous EEG Monitoring: Principles and Practice, pp. 6.
[4] Volker Straebel, Wilm Thoben, 2014, Alvin Lucier's music for solo performer: experimental music beyond sonification, Organised Sound, 19 (1): 17–29.
[5] Vidal J., 1973, Toward direct brain-computer communication, Annual Review of Biophysics and Bioengineering, 2 (1): 157–80.
[6] Birbaumer N. et al., 2000, The Thought Translation Device (TTD) for Completely Paralyzed Patients, IEEE Transactions on Rehabilitation Engineering, Volume 8, No. 2, pp. 190-193.
[7] Galán F. et al, 2008, A Brain-Actuated Wheelchair: Asynchronous and Non-invasive Brain-Computer Interfaces for Continuous Control of Robots, Clinical Neurophysiology, Volume 119, Issue 9, pp. 2159-2169.
[8] Drummond K., 2009, Pentagon Preps Soldier Telepathy Push, Wired Magazine.
[9] Niedermeyer, Ernst and da Silva, Fernando Lopes, 2005, Electroencephalography: Basic Principles, Clinical Applications and Related Fields, Fifth Edition, Lippincott Williams & Wilkins, pp 140.
[10] Nunez PL., Srinivasan R., 1981, Electric Fields of the Brain: The Neurophysics of EEG, Oxford University Press.
[11] Rowan A. James, 2003, Primer of EEG, Elsevier Science, Philadelphia, PA.
[12] Emotiv getting started guide, version 3.5.0., EMOTIV Inc 2017.
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Published
2019-11-07
Issue
Section
Electrotechnical and Computer Engineering
