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Paper Abstract and Keywords
Presentation 2016-03-29 15:40
Study of Feature in Emotion Recognition Using EEG during Music Listening
Hiroki Itoga, Yoshikazu Washizawa (UEC) EA2015-135 SIP2015-184 SP2015-163
Abstract (in Japanese) (See Japanese page) 
(in English) Human mind has been interested and researched. Human emotion is a kind of functions of mind.
Emotion estimation may guide our behavior because emotion in
uences decision making. In the emotion estima-
tion, estimation from brain signal is expected to show higher estimating accuracy than using the other biological
signals. This research compares recognition accuracy of the embedding entropy, PSD (Power Spectrum Density)
and a concatenated of them in 4 class emotion identi cation. Feature of the asymmetry of the embedding entropy
shows higher classi cation performance than PSD. Furthermore, using AutoEncoder shows higher performance than
concatenated feature. Also, we investigated relationship between Russell's circumplex model and feature. Thereby
we found relation between arousal level and EEG's complexity.
Keyword (in Japanese) (See Japanese page) 
(in English) Emotion Recognition / EEG / Embedding Entropy / Feature Extraction / Feature Transformation / AutoEncoder / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 522, SIP2015-184, pp. 385-390, March 2016.
Paper # SIP2015-184 
Date of Issue 2016-03-21 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2015-135 SIP2015-184 SP2015-163

Conference Information
Committee EA SP SIP  
Conference Date 2016-03-28 - 2016-03-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu International Convention Center B-ConPlaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Engineering/Electro Acoustics, Speech, Signal Processing, and Related Topics 
Paper Information
Registration To SIP 
Conference Code 2016-03-EA-SIP-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Feature in Emotion Recognition Using EEG during Music Listening 
Sub Title (in English)  
Keyword(1) Emotion Recognition  
Keyword(2) EEG  
Keyword(3) Embedding Entropy  
Keyword(4) Feature Extraction  
Keyword(5) Feature Transformation  
Keyword(6) AutoEncoder  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroki Itoga  
1st Author's Affiliation The University of Electro-Communication (UEC)
2nd Author's Name Yoshikazu Washizawa  
2nd Author's Affiliation The University of Electro-Communication (UEC)
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Speaker Author-1 
Date Time 2016-03-29 15:40:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # EA2015-135, SIP2015-184, SP2015-163 
Volume (vol) vol.115 
Number (no) no.521(EA), no.522(SIP), no.523(SP) 
Page pp.385-390 
#Pages
Date of Issue 2016-03-21 (EA, SIP, SP) 


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