A simple communication system based on Brain Computer Interface

Avinash Kumar Singh, Yu Kai Wang, Jun Tai King, Chin Teng Lin, Li-Wei Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationTAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages363-366
Number of pages4
ISBN (Electronic)9781467396066
DOIs
StatePublished - 12 Feb 2016
EventConference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, Taiwan
Duration: 20 Nov 201522 Nov 2015

Publication series

NameTAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence

Conference

ConferenceConference on Technologies and Applications of Artificial Intelligence, TAAI 2015
CountryTaiwan
CityTainan
Period20/11/1522/11/15

Keywords

  • BCI
  • EEG
  • eye-blinking
  • speech synthesis

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    Singh, A. K., Wang, Y. K., King, J. T., Lin, C. T., & Ko, L-W. (2016). A simple communication system based on Brain Computer Interface. In TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence (pp. 363-366). [7407110] (TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2015.7407110