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Paper Abstract and Keywords
Presentation 2026-03-04 14:30
[Poster Presentation] Domain-Adaptive Online Learning for EEG-Based Emotion Recognition under Subject-Independent Conditions
Kotaro Mori, Yoshikazu Washizawa (UEC) EA2025-164 SIP2025-184 SP2025-117
Abstract (in Japanese) (See Japanese page) 
(in English) EEG（Electroencephalogram）-based emotion recognition is an important fundamental technology for estimating internal human states, with applications such as dialogue support and mental health assistance. However, EEG signals exhibit large inter-subject variability. This makes it difficult to accurately recognize emotions of unseen subjects when performing emotion recognition. To address this issue, this study proposes an integrated online learning method that combines a deep feature extractor incorporating gradient reversal-based domain adaptation with an online learning mechanism. This mechanism performs confidence-based sample selection and sample re-evaluation based on the distance between input features and class-wise feature distributions. Domain-adaptive feature extraction suppresses inter-subject feature distribution differences and learns representations effective for unseen subjects, leading to stabilized recognition performance. Subject-wise cross-validation confirms improvements in both accuracy and learning stability for new subjects.
Keyword (in Japanese) (See Japanese page) 
(in English) EEG（Electroencephalogram） / emotion recognition / online learning / domain adaptation / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 370, SIP2025-184, pp. 532-537, March 2026.
Paper # SIP2025-184 
Date of Issue 2026-02-23 (EA, SIP, SP) 
ISSN 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 EA2025-164 SIP2025-184 SP2025-117

Conference Information
Committee SP EA SIP IPSJ-SLP  
Conference Date 2026-03-02 - 2026-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2026-03-SP-EA-SIP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Domain-Adaptive Online Learning for EEG-Based Emotion Recognition under Subject-Independent Conditions 
Sub Title (in English)  
Keyword(1) EEG（Electroencephalogram）  
Keyword(2) emotion recognition  
Keyword(3) online learning  
Keyword(4) domain adaptation  
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1st Author's Name Kotaro Mori  
1st Author's Affiliation University of Electro-Communications (UEC)
2nd Author's Name Yoshikazu Washizawa  
2nd Author's Affiliation University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2026-03-04 14:30:00 
Presentation Time 80 minutes 
Registration for SIP 
Paper # EA2025-164, SIP2025-184, SP2025-117 
Volume (vol) vol.125 
Number (no) no.369(EA), no.370(SIP), no.371(SP) 
Page pp.532-537 
#Pages 6 
Date of Issue 2026-02-23 (EA, SIP, SP) 

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