A simple communication system based on Brain Computer Interface

Singh, AK; Wang, YK; King, JT; Lin, CT; Ko, LW

A simple communication system based on Brain Computer Interface

Singh, AK

Wang, YK

King, JT Lin, CT

Ko, LW

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Publication Type:: Conference Proceeding
Citation:: TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, 2016, pp. 363 - 366
Issue Date:: 2016-02-12

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Field	Value	Language
dc.contributor.author	Singh, AK https://orcid.org/0000-0002-6539-9695	en_US
dc.contributor.author	Wang, YK https://orcid.org/0000-0001-8390-2664	en_US
dc.contributor.author	King, JT	en_US
dc.contributor.author	Lin, CT https://orcid.org/0000-0001-8371-8197	en_US
dc.contributor.author	Ko, LW	en_US
dc.date.issued	2016-02-12	en_US
dc.identifier.citation	TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, 2016, pp. 363 - 366	en_US
dc.identifier.isbn	9781467396066	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120641
dc.description.abstract	© 2015 IEEE. The current study presents one Brain Computer Interface (BCI) based communication system in which the intentional eye blink were extracted from the single channel EEG data. This system could be useful for the sufferers of motor disease, locked in syndrome, and paralysis. In particular, one new Human Computer Interface (HCI) can also benefit healthy users. To detect the intentional eye blinking in real-time, the score was calculated from delta, theta and gamma power band from the brain dynamics acquired from single channel through NeuroSky Headset wirelessly. The soft and hard blink represent '0' and '1' in this system respectively and formed four continuous bit string which map to the pre-defined text in this system. The mapped text was convert into speech and send to the speaker. The experimental results shows that this system can provide an accurate and convenient way to communicate through the brain dynamics.	en_US
dc.relation.ispartof	TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence	en_US
dc.relation.isbasedon	10.1109/TAAI.2015.7407110	en_US
dc.title	A simple communication system based on Brain Computer Interface	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. The current study presents one Brain Computer Interface (BCI) based communication system in which the intentional eye blink were extracted from the single channel EEG data. This system could be useful for the sufferers of motor disease, locked in syndrome, and paralysis. In particular, one new Human Computer Interface (HCI) can also benefit healthy users. To detect the intentional eye blinking in real-time, the score was calculated from delta, theta and gamma power band from the brain dynamics acquired from single channel through NeuroSky Headset wirelessly. The soft and hard blink represent '0' and '1' in this system respectively and formed four continuous bit string which map to the pre-defined text in this system. The mapped text was convert into speech and send to the speaker. The experimental results shows that this system can provide an accurate and convenient way to communicate through the brain dynamics.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/120641