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| Presentation | 2022-01-27 15:10 AI-based heart rate prediction during walking Kaiji Owaki, Kouichi Miyachi, Manaya Yamazaki, Hideaki Kimura (Chubu Univ)  EST2021-69 Link to ES Tech. Rep. Archives: EST2021-69 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, Japan has been facing a serious problem of declining birthrates and an aging population. As the birthrate declines and the population ages, nursing care and medical costs are expected to increase, and the burden on the age group that supports the elderly will increase. Therefore, it is thought that health promotion of the elderly can solve these problems by extending their healthy life span and minimizing the time they need nursing care. Walking is one of the most common health promotion exercises. However, the risk of injury increases when walking is too strenuous, and this may lead to a decrease in continuity. In this study, we investigated the effect of heart rate on walking. In this paper, we report on a system that predicts the heart rate during walking and provides real-time feedback to improve health. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Healthcare / IoT Technology / Edge Computing / Artificial Intelligence / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 358, EST2021-69, pp. 59-62, Jan. 2022. | |
| Paper # | EST2021-69 | |
| Date of Issue | 2022-01-20 (EST) | |
| 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 | EST2021-69 Link to ES Tech. Rep. Archives: EST2021-69 |
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| Conference Information | |
| Committee | EST |
| Conference Date | 2022-01-27 - 2022-01-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Simulation techniques, etc. |
| Paper Information | |
| Registration To | EST |
| Conference Code | 2022-01-EST |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | AI-based heart rate prediction during walking |
| Sub Title (in English) | |
| Keyword(1) | Healthcare |
| Keyword(2) | IoT Technology |
| Keyword(3) | Edge Computing |
| Keyword(4) | Artificial Intelligence |
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| Keyword(8) | |
| 1st Author's Name | Kaiji Owaki |
| 1st Author's Affiliation | Chubu University (Chubu Univ) |
| 2nd Author's Name | Kouichi Miyachi |
| 2nd Author's Affiliation | Chubu University (Chubu Univ) |
| 3rd Author's Name | Manaya Yamazaki |
| 3rd Author's Affiliation | Chubu University (Chubu Univ) |
| 4th Author's Name | Hideaki Kimura |
| 4th Author's Affiliation | Chubu University (Chubu Univ) |
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| Speaker | Author-1 |
| Date Time | 2022-01-27 15:10:00 |
| Presentation Time | 20 minutes |
| Registration for | EST |
| Paper # | EST2021-69 |
| Volume (vol) | vol.121 |
| Number (no) | no.358 |
| Page | pp.59-62 |
| #Pages | 4 |
| Date of Issue | 2022-01-20 (EST) |
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