Presentation 2010-03-10
A Proposal of Boosting Algorithm for Brain-Computer Interface Usiug Probabilistic Data Interpolation
Isao HAYASHI, Shinji TSURUSE,
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Abstract(in English) Brain-computer interface(BCI) and brain-machine interface(BMI) have been come into the research limelight. The outer computer and machine are controlled by brain activity and the discriminated boundary, which are detected with near-infrared spectroscopy(NIRS) or electroencephalograph(EEG). However, in general, a large amount of activity data are necessary to determine the discriminated boundary in the conventional discriminant models. In this paper, we propose a new boosting algorithm for BCI using probabilistic data interpolation. In our model, interpolated data are generated by probabilistic distribution and assorted around errors instead of weights in the conventional Adaboost. By the interpolated data, the discriminated boundary is identified to control the outer machine effectively. We apply our method to arithmetic test with NIRS, and discuss the usefulness of our method.
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Keyword(in English) Brain-Computer Interface / Boosting Algorithm / Data Interpolation
Paper # NC2009-139
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Committee NC
Conference Date 2010/3/2(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposal of Boosting Algorithm for Brain-Computer Interface Usiug Probabilistic Data Interpolation
Sub Title (in English)
Keyword(1) Brain-Computer Interface
Keyword(2) Boosting Algorithm
Keyword(3) Data Interpolation
1st Author's Name Isao HAYASHI
1st Author's Affiliation Faculty of Informatics, Kansai University()
2nd Author's Name Shinji TSURUSE
2nd Author's Affiliation Faculty of Informatics, Kansai University
Date 2010-03-10
Paper # NC2009-139
Volume (vol) vol.109
Number (no) 461
Page pp.pp.-
#Pages 6
Date of Issue