An Implementation of FBCSP Replacing Feature Selection Method According to the Classifier
- DOI
- 10.2991/wartia-16.2016.349How to use a DOI?
- Keywords
- MI signal, BCI, FBCSP, Relief, FLD
- Abstract
Common spatial pattern (CSP) is a popular method for 2-class motor imagery electroencephalogram (EEG) classification. Filter bank common spatial pattern (FBCSP) is an improved version of CSP by introducing multiple frequency filters and a stage of feature selection. In FBCSP, methods for the feature selection stage can be various, and there is no criteria to guide the selection. To make the selection of a specific feature selection method reasonable, this paper tries to obey a guideline that the feature selection method should match with the classification method. Based on the proposed criteria above, this paper employs fisher linear discriminant (FLD) for classification and a corresponding Relief method for features selection. Introduction
- 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/).
Cite this article
TY - CONF AU - Kang Wang AU - Xueqian Wang AU - Gang Li AU - Bin Liang PY - 2016/05 DA - 2016/05 TI - An Implementation of FBCSP Replacing Feature Selection Method According to the Classifier BT - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications PB - Atlantis Press SP - 1761 EP - 1765 SN - 2352-5401 UR - https://doi.org/10.2991/wartia-16.2016.349 DO - 10.2991/wartia-16.2016.349 ID - Wang2016/05 ER -