Presentation | 2014-03-05 Construction of the Feelings Judgment System using EEG Feature Quantity Concept Base Mayo MORIMOTO, Misako IMONO, Seiji TSUCHIYA, Hirokazu WATABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | For make smooth communication between robot and human, robot need to understand feeling of human. There is a system for understand direct feeling from human call EEG feelings judgment system. This system's accuracy is low, so it is not practical. The cause of low accuracy is the noise included in EEG data. To judge the feeling by using EEG data which including noise, we construct EEG feature quantity concept base. EEG feature quantity concept base is having a structure of expressing EEG data component by group of EEG data component. By using EEG feature quantity concept base, we construct new EEG judgment system. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | EEG / Brain Wave / Feeling Judgment / Knowledge Base |
Paper # | AI2013-49 |
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Committee | AI |
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Conference Date | 2014/2/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Construction of the Feelings Judgment System using EEG Feature Quantity Concept Base |
Sub Title (in English) | |
Keyword(1) | EEG |
Keyword(2) | Brain Wave |
Keyword(3) | Feeling Judgment |
Keyword(4) | Knowledge Base |
1st Author's Name | Mayo MORIMOTO |
1st Author's Affiliation | Graduate School of Science and Engineering, Doshisha University() |
2nd Author's Name | Misako IMONO |
2nd Author's Affiliation | Graduate School of Engineering, Doshisha University |
3rd Author's Name | Seiji TSUCHIYA |
3rd Author's Affiliation | Faculty of Science and Engineering, Doshisha University |
4th Author's Name | Hirokazu WATABE |
4th Author's Affiliation | Faculty of Science and Engineering, Doshisha University |
Date | 2014-03-05 |
Paper # | AI2013-49 |
Volume (vol) | vol.113 |
Number (no) | 459 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |