Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)

Capturing Four Typical Eye Movement Signals Hidden in Electroencephalograph

Authors
Liangzhi Gan, Ronggang Zhao, Haikuan Liu
Corresponding Author
Liangzhi Gan
Available Online May 2018.
DOI
10.2991/icmse-18.2018.6How to use a DOI?
Keywords
Principal Angles; Kernel Method; Electroencephalograph
Abstract

We proposed a process to find and recognize four typical eye movement signals hidden in EEGs. Eye movement signals contained in EEG are usually looked as artefacts by doctors. But they can be useful if the movements are intentionally launched for special purpose. Identifying typical eye movements from a flow of EEG signals can facilitate communications. We introduce the way to identify four typical eye movement signals by analyzing the electrooculography (EOG) signals with kernel principal angles. Supposing one person tries to give signal by moving eyes, it is convenient for him or her to move the eyes left, right, up or down. We sampled many typical EOG signals of these special conditions. Kernel principal angles are often used to measure the similarity of two data sets. With the help of kernel principal angles, we tried to capture the eye movement signals hidden in EEG signals and recognize them. The final experiments show that overwhelming majority of the cosines in the same classes are over 0.95, and cosines over different classes are less than 0.80. This means that kernel principal angles can be effective to capture and identify typical eye movement signals.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/icmse-18.2018.6
ISSN
2352-5401
DOI
10.2991/icmse-18.2018.6How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liangzhi Gan
AU  - Ronggang Zhao
AU  - Haikuan Liu
PY  - 2018/05
DA  - 2018/05
TI  - Capturing Four Typical Eye Movement Signals Hidden in Electroencephalograph
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 25
EP  - 29
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.6
DO  - 10.2991/icmse-18.2018.6
ID  - Gan2018/05
ER  -