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Paper Abstract and Keywords
Presentation 2020-01-31 09:00
Proposal and Initial Evaluation of Refrigerator Door Identification Method Using Door Opening and Closing Sound
Yudai Mitsukude, Kenta Hayashi, Shigemi Ishida, Yutaka Arakawa, Akira Fukuda (Kyushu Univ.) SeMI2019-115
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the development of sensing technology has enabled sensing in various situations.IoT products have been developed one after another, and users can easily obtain information associated with their actions.The conventional method of attaching sensors to users and the method of using a camera in the recognition of daily activities has a problem that the user's mental burden is large.There is also a problem that it is expensive to introduce a dedicated device or product.In this paper, for the purpose of sensing eating habits,we propose an open / close door identification method using a microphone on a tablet terminal installed on the refrigerator door.Depending on the size of the door, packing, and rail types, each door shows different sound characteristics when opening / closing the door.Therefore, the door opening / closing is identified by analyzing the data when the door is opened / closed.Discrimination is performed by machine learning using features extracted from the data obtained from the microphone on the tablet terminal.We conducted experiments with four subjects.The experiment result demonstrated that our identification method successfully identifies doors with an average accuracy of 0.95.
Keyword (in Japanese) (See Japanese page) 
(in English) activity recognition / refrigerator / door / voice analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 406, SeMI2019-115, pp. 63-68, Jan. 2020.
Paper # SeMI2019-115 
Date of Issue 2020-01-23 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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)
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Conference Information
Committee SeMI  
Conference Date 2020-01-30 - 2020-01-31 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To SeMI 
Conference Code 2020-01-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal and Initial Evaluation of Refrigerator Door Identification Method Using Door Opening and Closing Sound 
Sub Title (in English)  
Keyword(1) activity recognition  
Keyword(2) refrigerator  
Keyword(3) door  
Keyword(4) voice analysis  
1st Author's Name Yudai Mitsukude  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Kenta Hayashi  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Shigemi Ishida  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Yutaka Arakawa  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Akira Fukuda  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2020-01-31 09:00:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2019-115 
Volume (vol) vol.119 
Number (no) no.406 
Page pp.63-68 
Date of Issue 2020-01-23 (SeMI) 

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