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| Paper Abstract and Keywords | ||
| Presentation | 2022-06-23 16:20 Development and Evaluation of Behavior Observation System for Elderly People Living Alone Using 3D Point Cloud Data Analysis by Edge AI Keigo Shimatani, Yamamoto Hiroshi (Ritsumei Univ)  IA2022-8 ICSS2022-8 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the number of elderly people living alone has been increasing in Japan due to the rapid aging society. To cope with this situation, behavior estimation systems have been proposed that can watch over the lives of elderly people on behalf of their families. Existing studies have proposed the systems that the cameras are installed at home and the image analysis technology is utilized to estimate the behavior of residents. However, there is concern that the use of cameras for capturing images may infringe on the privacy of residents, hence that residents may be resistant to the system. Therefore, in this study, we attempt to develop a system that estimates the position and posture of residents in their homes and observe their behavior by analyzing point cloud information measured using 3D LiDAR, a type of laser radar that can acquire the distance, position, and shape of objects, using machine learning techniques. The proposed system adopts an edge computing configuration to analyze point cloud information acquired from LiDAR on sensor nodes at home and is designed to transmit only the estimation results to an analysis server deployed on the Internet. This will make it possible to use the behavior observation system even at home where a high-speed Internet environment is not deployed. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | IoT / 3D LiDAR / point loud data analysis / machine learning, / behavior estimation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 85, IA2022-8, pp. 43-48, June 2022. | |
| Paper # | IA2022-8 | |
| Date of Issue | 2022-06-16 (IA, ICSS) | |
| ISSN | 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 | IA2022-8 ICSS2022-8 |
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| Conference Information | |
| Committee | IA ICSS |
| Conference Date | 2022-06-23 - 2022-06-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Univ. of Nagasaki |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Internet Security, etc. |
| Paper Information | |
| Registration To | IA |
| Conference Code | 2022-06-IA-ICSS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development and Evaluation of Behavior Observation System for Elderly People Living Alone Using 3D Point Cloud Data Analysis by Edge AI |
| Sub Title (in English) | |
| Keyword(1) | IoT |
| Keyword(2) | 3D LiDAR |
| Keyword(3) | point loud data analysis |
| Keyword(4) | machine learning, |
| Keyword(5) | behavior estimation |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Keigo Shimatani |
| 1st Author's Affiliation | Ritsumeikan University (Ritsumei Univ) |
| 2nd Author's Name | Yamamoto Hiroshi |
| 2nd Author's Affiliation | Ritsumeikan University (Ritsumei Univ) |
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| Speaker | Author-1 |
| Date Time | 2022-06-23 16:20:00 |
| Presentation Time | 25 minutes |
| Registration for | IA |
| Paper # | IA2022-8, ICSS2022-8 |
| Volume (vol) | vol.122 |
| Number (no) | no.85(IA), no.86(ICSS) |
| Page | pp.43-48 |
| #Pages | 6 |
| Date of Issue | 2022-06-16 (IA, ICSS) |
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