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Paper Abstract and Keywords
Presentation 2018-02-27 14:45
Design and Implementation of a Baby Monitoring System with Machine Learning
Tan Omiya, Doudou Fall, Shigeru Kashihara (NAIST) MoNA2017-68
Abstract (in Japanese) (See Japanese page) 
(in English) The advent of the Internet of Things has permitted the emergence of numerous technologies, such as baby monitoring systems, that improve the quality of life of human beings. Existing baby monitoring systems advantageously provide video and audio information to parents about the situation of their infants who are located in distant places. Their disadvantage is that parents have to continuously monitor the system in order to detect an event. In this paper, we aim to reduce the burden of monitoring by proposing a machine learning-based baby monitoring system that can detect the event ‘infant crying’ and alert the parents. We used Support Vector Machine for the event detection and a low-load video streaming to allow monitoring through a smartphone application. We implemented our system on Raspberry Pi and tested it on a real environment. The preliminary evaluation demonstrates its usefulness.
Keyword (in Japanese) (See Japanese page) 
(in English) Baby Monitoring System / Machine Learning / Support Vector Machine / IoT / Raspberry Pi / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 450, MoNA2017-68, pp. 249-254, Feb. 2018.
Paper # MoNA2017-68 
Date of Issue 2018-02-19 (MoNA) 
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)
Download PDF MoNA2017-68

Conference Information
Committee MoNA ASN IPSJ-MBL IPSJ-UBI  
Conference Date 2018-02-26 - 2018-02-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Sophia University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ubiquitous system, Ambient intelligence, Next generation wireless communicasion, Mobile network, etc. 
Paper Information
Registration To MoNA 
Conference Code 2018-02-MoNA-ASN-MBL-UBI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design and Implementation of a Baby Monitoring System with Machine Learning 
Sub Title (in English)  
Keyword(1) Baby Monitoring System  
Keyword(2) Machine Learning  
Keyword(3) Support Vector Machine  
Keyword(4) IoT  
Keyword(5) Raspberry Pi  
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1st Author's Name Tan Omiya  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Doudou Fall  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Shigeru Kashihara  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2018-02-27 14:45:00 
Presentation Time 25 minutes 
Registration for MoNA 
Paper # MoNA2017-68 
Volume (vol) vol.117 
Number (no) no.450 
Page pp.249-254 
#Pages 6 
Date of Issue 2018-02-19 (MoNA) 

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