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 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.
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Keyword(in English) EEG / Brain Wave / Feeling Judgment / Knowledge Base
Paper # AI2013-49
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Committee AI
Conference Date 2014/2/24(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
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