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Paper Abstract and Keywords
Presentation 2021-03-03 14:30
Emotion Estimation from EEG data by Multi-Dimensional CNN
Mizuki Noda, Masayuki Kikuchi (TUT) NC2020-49
Abstract (in Japanese) (See Japanese page) 
(in English) This study examined the estimation of subjects' emotion from EEG data using multi-dimensional CNN. We used DEAP dataset which includes 32ch EEG data with subjective information. Two classes, “High” and “Low” are assigned to each Valence and Arousal emotion. As a pre-processing, wavelet transformation was adopted to each channel of EEG data for each subject, and the results were applied to electrode map represented in 2D lattice manner, which reflects spatial arrangement of electrodes on the skin of the brain. By such a procedure, 4D data representation, namely (electrode-x, electrode-y, time, frequency), were obtained, and we provided 3D data of (x, y, time) with multiple frequency bands into 3D-CNN simultaneously.
Output of the network represents the emotion of the subject represented by binarized one-hot vector. As the result of learning, we obtained 60% and 64.5% of precisions for Valence and Arousal emotions, respectively, therefore the effectiveness of our approach was confirmed.
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Reference Info. IEICE Tech. Rep., vol. 120, no. 403, NC2020-49, pp. 37-40, March 2021.
Paper # NC2020-49 
Date of Issue 2021-02-24 (NC) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee NC MBE  
Conference Date 2021-03-03 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Neuro Computing, Medical Engineering, etc. 
Paper Information
Registration To NC 
Conference Code 2021-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Emotion Estimation from EEG data by Multi-Dimensional CNN 
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1st Author's Name Mizuki Noda  
1st Author's Affiliation Tokyo University of Technology (TUT)
2nd Author's Name Masayuki Kikuchi  
2nd Author's Affiliation Tokyo University of Technology (TUT)
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Date Time 2021-03-03 14:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2020-49 
Volume (vol) vol.120 
Number (no) no.403 
Page pp.37-40 
#Pages
Date of Issue 2021-02-24 (NC) 


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