NDLI: Incremental Pattern Recognition on EEG Signal

Content Provider	IEEE Xplore Digital Library
Author	Kam Swee Ng Hyung-Jeong Yang Sun-Hee Kim Jong-Mun Jeong
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Chonnam Nat. Univ., Gwangju (Kam Swee Ng; Hyung-Jeong Yang; Sun-Hee Kim; Jong-Mun Jeong)
Abstract	EEG based brain computer interface has provided a new communication pathway between the human brain and the computer. It can be used for handicap or disabled users to interact with human using the computer interface. It can also be used in controlling human's muscles movement. In this paper, we show that meaningful information can be extracted from EEG signal through incremental approach. We applied principal component analysis incrementally which recognizes patterns in the series of EEG data that consists of actual and imaginary limb movements. Our experiments have proven that the approach is promising especially in time series data because it works incrementally.
Starting Page	40
Ending Page	45
File Size	3600297
Page Count	6
File Format	PDF
ISBN	9781424435548
DOI	10.1109/ISSPIT.2008.4775709
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-16
Publisher Place	Serbia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern recognition Electroencephalography Humans Brain computer interfaces Computer interfaces Communication system control Muscles Data mining Principal component analysis Image recognition Brain Computer Interface EEG signal processing pattern recognition
Content Type	Text
Resource Type	Article

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