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Paper Abstract and Keywords
Presentation 2017-11-17 09:00
A Study on Fall Detection by Networked Sensors
Daiki Miura, Yuta Fukushima, Takashi Hamatani, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.) MoNA2017-19
Abstract (in Japanese) (See Japanese page) 
(in English) Human fall detection has been on immense interest for elderly care.
In this tequnical report, we propose a novel system for indoor fall detection with use of multiple infrared sensors.
Our key idea is to virtually deploy convolutional neural networks on 2-D array of connected sensor nodes.
The system can automatically tune its parameter set with a deep learning algorithm carried out within the sensor network where each IoT node transfers data to each other, and operates convolution and pooling.
We confirmed our method could successfully detect human fall with 92.2% precision and 79.2% recall through our dataset collected by 55 gait instances.
Keyword (in Japanese) (See Japanese page) 
(in English) Fall Detection / Distributed Computing / Deep Learning / Convolutional Neural Network / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 308, MoNA2017-19, pp. 25-30, Nov. 2017.
Paper # MoNA2017-19 
Date of Issue 2017-11-09 (MoNA) 
ISSN Print edition: ISSN 0913-5685    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)
Download PDF MoNA2017-19

Conference Information
Committee CNR IN MoNA  
Conference Date 2017-11-16 - 2017-11-17 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MoNA 
Conference Code 2017-11-CNR-IN-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Fall Detection by Networked Sensors 
Sub Title (in English)  
Keyword(1) Fall Detection  
Keyword(2) Distributed Computing  
Keyword(3) Deep Learning  
Keyword(4) Convolutional Neural Network  
1st Author's Name Daiki Miura  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yuta Fukushima  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Takashi Hamatani  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Hirozumi Yamaguchi  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Teruo Higashino  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2017-11-17 09:00:00 
Presentation Time 25 minutes 
Registration for MoNA 
Paper # MoNA2017-19 
Volume (vol) vol.117 
Number (no) no.308 
Page pp.25-30 
Date of Issue 2017-11-09 (MoNA) 

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