EEG Pattern Recognition based on Frequency Analysis during Imaging and Gazing Tasks
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- Kinoshita Kouichi
- Department of Systems Design and Informatics, Kyushu Institute of Technology
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- Yamaguchi Tomonari
- Department of Systems Design and Informatics, Kyushu Institute of Technology
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- Uno Haruo
- Department of Systems Design and Informatics, Kyushu Institute of Technology
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- Nishihara Yoko
- Department of Systems Design and Informatics, Kyushu Institute of Technology
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- Maeda Makoto
- Department of Systems Design and Informatics, Kyushu Institute of Technology
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- Inoue Katsuhiro
- Department of Systems Design and Informatics, Kyushu Institute of Technology
Abstract
A brain-computer interface (BCI) is a translation system that detects human's intentions from EEG (electroencephalography) and converts it to computer commands. This system has been expected to help the disabled (e.g. amyotrophic lateral sclerosis or spinal cord injury patients) to communicate with the other people. In this paper, we tried to estimate shapes from EEG during tasks(gazing or imaging) shape in order to apply to the BCI system. The optimal combinations of parameters were investigated to discriminate shapes by using frequency analysis. Then features were used to recognize among three different shapes. As a result, accuracy of classification was more than 70 percent in some tasks. This fact suggests that a new type of BCI system will be available.
Journal
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- Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
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Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2012 (0), 338-343, 2012-05-05
The ISCIE Symposium on Stochastic Systems Theory and Its Applications
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Keywords
Details 詳細情報について
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- CRID
- 1390282763011566720
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- NII Article ID
- 130007377421
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- ISSN
- 21884749
- 21884730
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed