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) |
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Keyword(1) |
Baby Monitoring System |
Keyword(2) |
Machine Learning |
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Support Vector Machine |
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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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