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| Paper Abstract and Keywords | ||
| Presentation | 2022-07-19 11:40 Improvement of RSSI collection efficiency for position estimation using sensor NW and its effect on machine learning accuracy Takefumi Masuda, Keiji Takahei, Tsugumichi Shibata (TCU)  EMT2022-12 MW2022-36 OPE2022-15 EST2022-13 MWPTHz2022-10 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Japan has become one of the world's top longevity societies and the population is aging. Under such circumstances, the demand for indoor position estimation systems for watching over the elderly is increasing. Therefore, we have been studying a system that estimates the position of the elderly from the received signal strength indicator (RSSI) of the radio waves emitted by the mobile beacon worn by the elderly. The wireless standard EnOcean is used as the beacon signal, and the RSSI is collected at multiple points indoors at the same time. The position of the elderly is estimated by machine learning the relationship between the RSSI data and the signal transmission position. In this presentation, we consider the method of improving the efficiency of RSSI data acquisition and the points to keep in mind related to the accuracy of machine learning. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Position estimation / Received signal strength indicator / Machine learning / Neural network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 120, EST2022-13, pp. 23-27, July 2022. | |
| Paper # | EST2022-13 | |
| Date of Issue | 2022-07-12 (EMT, MW, OPE, EST, MWPTHz) | |
| 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 | EMT2022-12 MW2022-36 OPE2022-15 EST2022-13 MWPTHz2022-10 |
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| Conference Information | |
| Committee | MWPTHz EST MW EMT OPE IEE-EMT |
| Conference Date | 2022-07-19 - 2022-07-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Asahikawa Civic Culture Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Workshop on Optical and Microwave technologies |
| Paper Information | |
| Registration To | EST |
| Conference Code | 2022-07-MWPTHz-EST-MW-EMT-OPE-EMT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of RSSI collection efficiency for position estimation using sensor NW and its effect on machine learning accuracy |
| Sub Title (in English) | |
| Keyword(1) | Position estimation |
| Keyword(2) | Received signal strength indicator |
| Keyword(3) | Machine learning |
| Keyword(4) | Neural network |
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| 1st Author's Name | Takefumi Masuda |
| 1st Author's Affiliation | Tokyo City University (TCU) |
| 2nd Author's Name | Keiji Takahei |
| 2nd Author's Affiliation | Tokyo City University (TCU) |
| 3rd Author's Name | Tsugumichi Shibata |
| 3rd Author's Affiliation | Tokyo City University (TCU) |
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| Speaker | Author-1 |
| Date Time | 2022-07-19 11:40:00 |
| Presentation Time | 25 minutes |
| Registration for | EST |
| Paper # | EMT2022-12, MW2022-36, OPE2022-15, EST2022-13, MWPTHz2022-10 |
| Volume (vol) | vol.122 |
| Number (no) | no.117(EMT), no.118(MW), no.119(OPE), no.120(EST), no.121(MWPTHz) |
| Page | pp.23-27 |
| #Pages | 5 |
| Date of Issue | 2022-07-12 (EMT, MW, OPE, EST, MWPTHz) |
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