Presentation 2013/3/4
The Feelings Judgment System from EEG with a Noise Reduction Based on Clustering
Keita IZUMI, Misako IMONO, Seiji TSUCHIYA, Hirokazu WATABE,
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Abstract(in English) Recently, robots which adapt to human's life are required. These robots need to think and select best word for taking smooth communication with human by understanding human's feeling. For this research, l construct the system for judging feelings from EEC The reason for using EEG is the brain controls human's facial expression which express human's feelings so thought EEG will judge correct feeling. When getting EEG by experiment, noise is occurring very easily, so l propose noise reduction method in this research.
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Keyword(in English) EEG / Knowledge Base / Feeling Judgment / Clustering
Paper # AI2012-47
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Committee AI
Conference Date 2013/3/4(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) The Feelings Judgment System from EEG with a Noise Reduction Based on Clustering
Sub Title (in English)
Keyword(1) EEG
Keyword(2) Knowledge Base
Keyword(3) Feeling Judgment
Keyword(4) Clustering
1st Author's Name Keita IZUMI
1st Author's Affiliation Graduate School of 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 2013/3/4
Paper # AI2012-47
Volume (vol) vol.112
Number (no) 477
Page pp.pp.-
#Pages 6
Date of Issue