Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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Design of Brain Computer Interface Based on Steady-State Visual Evoked Potential

Authors
Li-li Zhou1, *, Yin-fu Du1, Tong-Jun Liu1
1Institute of Intelligent Manufacturing, Heilongjiang Academy of Sciences, Harbin, 150090, China
*Corresponding author. Email: zhoulilivip@126.com
Corresponding Author
Li-li Zhou
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_62How to use a DOI?
Keywords
Brain computer interface; Steady state visual evoked potential; EEG signal
Abstract

This paper explains the concept of brain computer interface, and introducesthe most popular steady-state visual evoked potential system. After that,the principle and basis of steady-state visual evoked potential （SSVEP） signalare emphatically introduced, and the considerations for obtaining SSVEP signalare discussed, and the brain computer interface is designed based on thesteady-state visual evoked potential.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
10.2991/978-94-6463-108-1_62
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_62How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Li-li Zhou
AU  - Yin-fu Du
AU  - Tong-Jun Liu
PY  - 2022
DA  - 2022/12/30
TI  - Design of Brain Computer Interface Based on Steady-State Visual Evoked Potential
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 549
EP  - 555
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_62
DO  - 10.2991/978-94-6463-108-1_62
ID  - Zhou2022
ER  -