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Paper Abstract and Keywords
Presentation 2024-11-28 16:40
[Short Paper] Image Classification Wearable System Combining Depth and RGB Cameras for Various Illumination Conditions
Reima Yamazaki (TDU), Zhijie Xie (Science Tokyo), Shuji Ohji (Chudenko), Masayuki Iwai (TDU) SRW2024-35 SeMI2024-47
Abstract (in Japanese) (See Japanese page) 
(in English) According to an analysis of occupational accidents by the Ministry of Health, Labour and Welfare (MHLW), the number of accidents involving crashes and falls in the construction industry from FY 2018 to FY 2023 was the highest in Japan. In order to prevent such accidents from occurring, it is essential to have a system that can recognize scaffolds and warn workers of dangerous conditions in advance. In this study, we propose a system that combines a 2D ToF depth sensor and an image sensor to perform image classification tasks on a wearable device in low light and noisy visibility situations. We created a model in which the depth data and image data acquired before input are fused into different channels before learning and inference, evaluated the accuracy of inference for this model and the model proposed in previous studies in different illumination conditions, and examined whether sensor fusion enables inference at a certain level even under adverse conditions. We examined whether or not sensor fusion can be used to achieve a certain level of inference even under adverse conditions.
Keyword (in Japanese) (See Japanese page) 
(in English) Edge-AI / Sensor Fusion / Wearable / Object Classification / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 277, SeMI2024-47, pp. 41-46, Nov. 2024.
Paper # SeMI2024-47 
Date of Issue 2024-11-21 (SRW, SeMI) 
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 SRW2024-35 SeMI2024-47

Conference Information
Committee SRW SeMI  
Conference Date 2024-11-28 - 2024-11-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Univ. of Science Katsushika Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SeMI 
Conference Code 2024-11-SRW-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Classification Wearable System Combining Depth and RGB Cameras for Various Illumination Conditions 
Sub Title (in English)  
Keyword(1) Edge-AI  
Keyword(2) Sensor Fusion  
Keyword(3) Wearable  
Keyword(4) Object Classification  
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1st Author's Name Reima Yamazaki  
1st Author's Affiliation Tokyo Denki University (TDU)
2nd Author's Name Zhijie Xie  
2nd Author's Affiliation Institute of Science Tokyo (Science Tokyo)
3rd Author's Name Shuji Ohji  
3rd Author's Affiliation Chudenko Corporation (Chudenko)
4th Author's Name Masayuki Iwai  
4th Author's Affiliation Tokyo Denki University (TDU)
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Speaker Author-1 
Date Time 2024-11-28 16:40:00 
Presentation Time 15 minutes 
Registration for SeMI 
Paper # SRW2024-35, SeMI2024-47 
Volume (vol) vol.124 
Number (no) no.276(SRW), no.277(SeMI) 
Page pp.41-46 
#Pages 6 
Date of Issue 2024-11-21 (SRW, SeMI) 

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