ICA and committee machine-based algorithm for cursor control in a BCI system

Authors:
Jianzhao Qin;Yuanqing Li;Andrzej Cichocki
Affiliations:
Institute of Automation Science and Engineering, South China University of Technology, Guangzhou, China;Institute of Automation Science and Engineering, South China University of Technology, Guangzhou, China;Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Wako shi, Saitama, Japan
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Year:
2005

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Abstract

In recent years, brain-computer interface (BCI) technology has emerged very rapidly. Brain-computer interfaces (BCIs) bring us a new communication interface technology which can translate brain activities into control signals of devices like computers, robots. The preprocessing of electroencephalographic (EEG) signal and translation algorithms play an important role in EEG-based BCIs. In this study, we employed an independent component analysis (ICA)-based preprocessing method and a committee machine-based translation algorithm for the offline analysis of a cursor control experiment. The results show that ICA is an efficient preprocessing method and the committee machine is a good choice for translation algorithm.