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Paper Abstract and Keywords
Presentation 2026-06-26 09:10
Estimation of Full-Body Physical Activity Intensity from Camera Images Using Variational Autoencoder Regression
Sota Hizumi (Kwansei Gakuin Univ.), Toshiaki Miyamoto, Koutatsu Nagai (Hyogo Medical Univ.), Masataka Imura (Kwansei Gakuin Univ.) MVE2026-10
Abstract (in Japanese) (See Japanese page) 
(in English) This study proposes a camera-based method for estimating METs (Metabolic Equivalent of Task) based on posture estimation, without the use of wearable devices. For model training, camera images and exhaled gas analysis are simultaneously performed. Kinematic and kinetic features are extracted from the 3D coordinate sequence obtained from posture estimation to construct a METs regression estimation model. For estimation, only camera images are used as input. After the same preprocessing and feature extraction as model training, METs are estimated using the trained model. In evaluation experiments, the estimation accuracy was good under the same motion conditions as the training model. However, when applied to unknown motion types or tempo conditions, the estimation error increased significantly, confirming that there are issues with generalization performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Health Management / METs Estimation / Posture Estimation / Motion Features / Variational Autoencoder / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 87, MVE2026-10, pp. 54-59, June 2026.
Paper # MVE2026-10 
Date of Issue 2026-06-18 (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 MVE2026-10

Conference Information
Committee MVE HI-SIG-DeMO IPSJ-EC ITE-HI  
Conference Date 2026-06-25 - 2026-06-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Yakushima Environmental and Cultural Village Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2026-06-MVE-SIG-DeMO-EC-HI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of Full-Body Physical Activity Intensity from Camera Images Using Variational Autoencoder Regression 
Sub Title (in English)  
Keyword(1) Health Management  
Keyword(2) METs Estimation  
Keyword(3) Posture Estimation  
Keyword(4) Motion Features  
Keyword(5) Variational Autoencoder  
Keyword(6)  
Keyword(7)  
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1st Author's Name Sota Hizumi  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
2nd Author's Name Toshiaki Miyamoto  
2nd Author's Affiliation Hyogo Medical University (Hyogo Medical Univ.)
3rd Author's Name Koutatsu Nagai  
3rd Author's Affiliation Hyogo Medical University (Hyogo Medical Univ.)
4th Author's Name Masataka Imura  
4th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
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Speaker Author-1 
Date Time 2026-06-26 09:10:00 
Presentation Time 20 minutes 
Registration for MVE 
Paper # MVE2026-10 
Volume (vol) vol.126 
Number (no) no.87 
Page pp.54-59 
#Pages 6 
Date of Issue 2026-06-18 (MVE) 

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