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Paper Abstract and Keywords
Presentation 2026-03-17 09:40
Facial Expression Analysis Toward Improving the Performance of an Early Detection Model for Dual-Task-Based Cognitive Impairment
Daiki Nagata, Wu Shuqiong, Akos Godo, Ruochen Liao, Yasushi Yagi (UOsaka) IMQ2025-73 IE2025-150 MVE2025-80
Abstract (in Japanese) (See Japanese page) 
(in English) In a super-aging society，the early detection of cognitive impairment has become a critical challenge．Dual-task measurements，which impose higher cognitive loads than single-task conditions，have been shown to be effective for detecting cognitive impairment．In particular，dual-task protocols that combine arithmetic tasks with stepping movements have been widely investigated for the identification of mild cognitive impairment (MCI).On the other hand，cognitive decline has been reported to influence facial appearance and expressions．In this study，we investigate the effectiveness of facial expressions observed under high cognitive load，specifically during dual-task performance．Our results indicate that facial expressions under high cognitive load can distinguish individuals with cognitive impairment with an accuracy of approximately 70%.
Keyword (in Japanese) (See Japanese page) 
(in English) Dual-Task / ST-GCN / Cognitive Impairment / Dementia / MCI / Facial Expression Recognition / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 410, IE2025-150, pp. 308-313, March 2026.
Paper # IE2025-150 
Date of Issue 2026-03-09 (IMQ, IE, MVE) 
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 IMQ2025-73 IE2025-150 MVE2025-80

Conference Information
Committee CQ MVE IMQ IE  
Conference Date 2026-03-16 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Sangyoushien-Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2026-03-CQ-MVE-IMQ-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Facial Expression Analysis Toward Improving the Performance of an Early Detection Model for Dual-Task-Based Cognitive Impairment 
Sub Title (in English)  
Keyword(1) Dual-Task  
Keyword(2) ST-GCN  
Keyword(3) Cognitive Impairment  
Keyword(4) Dementia  
Keyword(5) MCI  
Keyword(6) Facial Expression Recognition  
Keyword(7)  
Keyword(8)  
1st Author's Name Daiki Nagata  
1st Author's Affiliation The University of Osaka (UOsaka)
2nd Author's Name Wu Shuqiong  
2nd Author's Affiliation The University of Osaka (UOsaka)
3rd Author's Name Akos Godo  
3rd Author's Affiliation The University of Osaka (UOsaka)
4th Author's Name Ruochen Liao  
4th Author's Affiliation The University of Osaka (UOsaka)
5th Author's Name Yasushi Yagi  
5th Author's Affiliation The University of Osaka (UOsaka)
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Speaker Author-1 
Date Time 2026-03-17 09:40:00 
Presentation Time 20 minutes 
Registration for IE 
Paper # IMQ2025-73, IE2025-150, MVE2025-80 
Volume (vol) vol.125 
Number (no) no.408(IMQ), no.410(IE), no.411(MVE) 
Page pp.308-313 
#Pages 6 
Date of Issue 2026-03-09 (IMQ, IE, MVE) 

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