Using EEG artifacts for BCI applications

Wanli Ma, Dat Tran, Trung Le, Hong Lin, Shang Ming Zhou

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)

Abstract

Brain computer interface (BCI) is about the communication channel between the brain of a human subject and a computerized device. Electroencephalography (EEG) signals are the primary choice as the sources of interpreting the intention of the human subject. EEG signals have a long history of being used in human health for the purposes of studying brain activities and medical diagnosis. EEG signals are very weak and are subject to the contamination from many artifact signals. For the applications in human health, true EEG signals, without the contamination, is highly desirable. However, for the purposes of BCI, where stable patterns from the source signals are critical, the origins of the signals are of less concern. In this paper, we propose a BCI, which is simple to implement and easy to use, by taking the advantage of EEG artifacts, generated by a number of purposely designed voluntary facial muscle movements.

Original languageEnglish
Title of host publicationProceedings of the 2014 International Joint Conference on Neural Networks
EditorsCesare Alippi
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3628-3635
Number of pages8
ISBN (Electronic)9781479914845, 9781479966271
ISBN (Print)9781479914821
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventIEEE International Joint Conference on Neural Networks 2014 - Beijing, China
Duration: 6 Jul 201411 Jul 2014
https://ieeexplore.ieee.org/xpl/conhome/6880678/proceeding (Proceedings)

Conference

ConferenceIEEE International Joint Conference on Neural Networks 2014
Abbreviated titleIJCNN 2014
CountryChina
CityBeijing
Period6/07/1411/07/14
Internet address

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