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- Hokama Kenichi
- Kyushu Institute of Technology
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- Ohtake Hiroshi
- Kyushu Institute of Technology
Bibliographic Information
- Other Title
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- SOM による脳波情報のグループ分けを利用した脳波判別器の開発
- SOM ニ ヨル ノウハ ジョウホウ ノ グループ ワケ オ リヨウ シタ ノウハ ハンベツキ ノ カイハツ
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Abstract
<p>In recent years, researches on BMI have attracted much attention. In previous studies, indi- vidual EEG classifiers were used generally since the brain waves are different for each individual. However, creating an EEG classifier for each subject causes an increase in data collection time and calculation cost. In our previous study, we tried to construct a common EEG classifier based on EEG data measured from multiple subjects, but the classification rate was not improved. In this research, it is assumed that there exist a suitable subject group and unsuitable subjects for the common EEG classifier, and EEG data are divided into such groups using SOM. A common classifier for the suitable subject group is constructed and compared with previous classifier.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 35 (0), 738-742, 2019
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390283659834235008
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- NII Article ID
- 130007773225
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 029976324
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed