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

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Research on A Brain Computer Interface for Population

Authors
Lili Zhou1, Zhichao Zhang1, Tongjun Liu1, *
1Institute of Intelligent Manufacturing, Heilongjiang Academy of Sciences, Harbin, Heilongjiang, 150090, China
*Corresponding author. Email: ltjvip@126.com
Corresponding Author
Tongjun Liu
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_80How to use a DOI?
Keywords
Brain computer interface; human-computer interaction; Steady state visual stimulation; Group application
Abstract

Brain Computer Interface (BCI) technology is the key core technology of the new generation of human-computer interaction. The development of BCI can be divided into academic exploration stage, scientific demonstration stage, and application experiment stage. The research of BCI will lead the research of brain science and brain like intelligence in China. In the application research of brain computer interface at this stage, reducing training time and widely applying in groups is an important public relations direction for the implementation of brain computer interface technology. This paper performs a play on the brain computer interface technology of applicable groups to solve the key problems in the application of brain computer interface. It is concluded that the evoked brain computer interface based on steady state visual stimulation has strong group applicability and is easier to achieve industrial implementation at this stage. The group characteristics of steady state visual evoked stimuli are described below.

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_80
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_80How 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  - Lili Zhou
AU  - Zhichao Zhang
AU  - Tongjun Liu
PY  - 2022
DA  - 2022/12/30
TI  - Research on A Brain Computer Interface for Population
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 721
EP  - 727
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_80
DO  - 10.2991/978-94-6463-108-1_80
ID  - Zhou2022
ER  -