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 identication. Feature of the asymmetry of the embedding entropy
shows higher classication 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 and reproduction |
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) |
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Keyword(8) |
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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 |
6 |
Date of Issue |
2016-03-21 (EA, SIP, SP) |
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