Research on A Brain Computer Interface for Population
- 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.
Cite this article
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 -