Review of Brain Computer Interface Components and Corresponding Research Topics
- 10.2991/emcs-16.2016.259How to use a DOI?
- Brain Computer Interface(BCI); Signal collection; Feature extraction; Feature classification; Practical application;
This paper conducts a research on the literature of Brain Computer Interface(BCI) in recent years, inducing the four components of BCI and the research topics respectively, and providing a guide to newcomers for exploring BCI. BCI is divided into four parts including signal collection, feature extraction, feature classification and practical application. Papers of above four parts are retrieved respectively from the SCI database. Topics of all papers are concluded, based on which the research topics of BCI are assigned to the four parts of BCI. In topics of each part of BCI, similar topics are summarized to the unique topic. Finally some research topics may cover dozens of papers while some topics may cover only several papers. In each of the four BCI components, there are several topics attracting most of the attention. BCI still has a great research value and good prospects for study.
- © 2016, 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 - Kang Wang AU - Xueqian Wang AU - Bin Liang AU - Gang Li AU - Rongjian Liang PY - 2016/01 DA - 2016/01 TI - Review of Brain Computer Interface Components and Corresponding Research Topics BT - Proceedings of the 2016 International Conference on Education, Management, Computer and Society PB - Atlantis Press SP - 1051 EP - 1060 SN - 2352-538X UR - https://doi.org/10.2991/emcs-16.2016.259 DO - 10.2991/emcs-16.2016.259 ID - Wang2016/01 ER -