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Paper Abstract and Keywords
Presentation 2024-05-16 15:40
Detection of Depression Using Web-Interview Data
Cheuk Hee Lam, Nathania Nah, Koichi Shinoda (TokyoTech), Momoko Kitazawa, Yuriko Kaise (Keio), Shunsuke Takagi, Genichi Sugihara (TMD), Taishiro Kishimoto (Keio) PRMU2024-7
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a method for integrating speech, text, and video modalities for multimodal depression detection. Our work leverages shorter utterances to enhance depression detection accuracy, rather than relying on traditional long-term approaches. We introduce the COI-NEXT dataset, comprising authentic clinical interviews conducted through Zoom. Our experiments show that video modalities, particularly when using shorter utterances, lead to improved accuracy for depression detection in patients. Despite limitations due to data scarcity, this work offers valuable insights into multimodal depression detection, emphasizing the significance of multimodal integration in mental health research.
Keyword (in Japanese) (See Japanese page) 
(in English) Depression Detection / Web Interview / Multimodal Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 23, PRMU2024-7, pp. 36-40, May 2024.
Paper # PRMU2024-7 
Date of Issue 2024-05-08 (PRMU) 
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 PRMU2024-7

Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2024-05-15 - 2024-05-16 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2024-05-PRMU-CVIM 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of Depression Using Web-Interview Data 
Sub Title (in English)  
Keyword(1) Depression Detection  
Keyword(2) Web Interview  
Keyword(3) Multimodal Learning  
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1st Author's Name Cheuk Hee Lam  
1st Author's Affiliation Tokyo Institute of Technology (TokyoTech)
2nd Author's Name Nathania Nah  
2nd Author's Affiliation Tokyo Institute of Technology (TokyoTech)
3rd Author's Name Koichi Shinoda  
3rd Author's Affiliation Tokyo Institute of Technology (TokyoTech)
4th Author's Name Momoko Kitazawa  
4th Author's Affiliation Keio University (Keio)
5th Author's Name Yuriko Kaise  
5th Author's Affiliation Keio University (Keio)
6th Author's Name Shunsuke Takagi  
6th Author's Affiliation Tokyo Medical and Dental University (TMD)
7th Author's Name Genichi Sugihara  
7th Author's Affiliation Tokyo Medical and Dental University (TMD)
8th Author's Name Taishiro Kishimoto  
8th Author's Affiliation Keio University (Keio)
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Speaker Author-1 
Date Time 2024-05-16 15:40:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2024-7 
Volume (vol) vol.124 
Number (no) no.23 
Page pp.36-40 
#Pages 5 
Date of Issue 2024-05-08 (PRMU) 

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