Discriminative FilterBank selection and EEG information fusion for brain computer interface

Kavitha P. Thomas, Cuntai Guan, Chiew Tong Lau, A. P. Vinod

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

16 Citations (Scopus)

Abstract

Brain Computer Interface (BCI) provides a direct communication pathway between a human and an external device. In this paper, we propose a new 'Discriminative FilterBank Common Spatial Pattern (DFBCSP)' algorithm to select the subject-specific filters automatically during training for a motor imagery based BCI. The subject-specific filters are selected using the fisher ratio values of filtered Electroencephalogram (EEG) signal. The channel 'C3' alone could give sufficient information to select the discriminative filterbank for the proposed system. We have also explored the possibility of boosting the system performance by including dynamic temporal features. Fusion of static and dynamic features in the proposed DFBCSP frame work gave an average test accuracy of 92.44%, which is significantly better than conventional filterbank based Common Spatial Pattern algorithms.

Original languageEnglish
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Pages1469-1472
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan, Province of China
Duration: 24 May 200927 May 2009

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Country/TerritoryTaiwan, Province of China
CityTaipei
Period24/05/0927/05/09

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