Review of Brain Computer Interface Components and Corresponding Research Topics

DOI

10.2991/emcs-16.2016.259How to use a DOI?

Keywords

Brain Computer Interface(BCI); Signal collection; Feature extraction; Feature classification; Practical application;

Abstract

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.

Copyright

© 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/).

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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  -