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Paper Abstract and Keywords
Presentation 2017-12-16 09:00
Bristol Stool Scale Classification of Falling Simulated Stool from Spatio-Temporal Image
Chizuru Honda, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) MBE2017-53
Abstract (in Japanese) (See Japanese page) 
(in English) The shape and hardness of stools reflect the health condition in the intestine. The Bristol Stool Scale is an index to classify into 7 types according to the shape and hardness of the defecation. However, it is difficult for individuals to properly evaluate the status of stools using the Bristol Stool Scale. In this study, we propose a method to classify stool properties by image processing. In this paper, we shoot falling simulated stools and generate spatio-temporal images. And we extract features from binary images of spatio-temporal images and classify them using the Support Vector Machine. As a result of the accuracy evaluation experiment using the proposed method, F-measure of 0.86 could be obtained as estimation accuracy, and the effectiveness of this method was confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) Bristol Stool Scale / Classification of Stool Property / Background Subtraction Method / Spatio-temporal Image / Line Sensor / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 360, MBE2017-53, pp. 1-6, Dec. 2017.
Paper # MBE2017-53 
Date of Issue 2017-12-09 (MBE) 
ISSN Print edition: ISSN 0913-5685    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)
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Conference Information
Committee MBE NC  
Conference Date 2017-12-16 - 2017-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, general 
Paper Information
Registration To MBE 
Conference Code 2017-12-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bristol Stool Scale Classification of Falling Simulated Stool from Spatio-Temporal Image 
Sub Title (in English)  
Keyword(1) Bristol Stool Scale  
Keyword(2) Classification of Stool Property  
Keyword(3) Background Subtraction Method  
Keyword(4) Spatio-temporal Image  
Keyword(5) Line Sensor  
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Keyword(7)  
Keyword(8)  
1st Author's Name Chizuru Honda  
1st Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
2nd Author's Name Haruki Kawanaka  
2nd Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
3rd Author's Name Koji Oguri  
3rd Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
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Speaker Author-1 
Date Time 2017-12-16 09:00:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2017-53 
Volume (vol) vol.117 
Number (no) no.360 
Page pp.1-6 
#Pages 6 
Date of Issue 2017-12-09 (MBE) 

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