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| 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 |
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| 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. |
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| 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 | |
| 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 | MoNA2017-19 |
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| 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 |
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| 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 |
| #Pages | 6 |
| Date of Issue | 2017-11-09 (MoNA) |
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