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| Presentation | 2023-01-20 11:45 [Short Paper] Impact of Statistics Interval on Walking Direction Estimation with Low-Frequency CSI Acquisition Keisuke Tamai, Takamochi Kanda, Koji Yamamoto (Kyoto Univ.), Noriyasu Kato, Shunji Taki, Takuya Negishi (Allied Telesis)  SeMI2022-102 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Among technologies on Channel State Information (CSI) sensing, device-free human body sensing has attracted much attention due to its wide range of applicability. Examples of device-free human body sensing include human walking tracking and walking direction estimation, and these prior methods require the acquisition of CSI at high frequencies above 100 Hz in order to be applicable. Therefore, in situations where sensing and communication are used together, high frequency CSI feedback overhead may degrade throughput. To solve this problem, we proposed a walking direction estimation method that can be applied even when the CSI acquisition frequency is low. The method uses the moving standard deviation of the received signal power gain as human gait information that can be extracted from CSI with a low acquisition frequency. The human body state is then classified into three values: stationary, approaching, and receding. In this paper, we further experimentally evaluated the impact of parameters used in the method on the accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | WiFi Sensing / Channel State Information / Walking Direction Estimation / Moving Standard Deviation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 341, SeMI2022-102, pp. 146-150, Jan. 2023. | |
| Paper # | SeMI2022-102 | |
| Date of Issue | 2023-01-12 (SeMI) | |
| 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 | SeMI2022-102 |
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| Conference Information | |
| Committee | SeMI SeMI |
| Conference Date | 2023-01-19 - 2023-01-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Naruto grand hotel |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2023-01-SeMI-SeMI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Impact of Statistics Interval on Walking Direction Estimation with Low-Frequency CSI Acquisition |
| Sub Title (in English) | |
| Keyword(1) | WiFi Sensing |
| Keyword(2) | Channel State Information |
| Keyword(3) | Walking Direction Estimation |
| Keyword(4) | Moving Standard Deviation |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Keisuke Tamai |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 2nd Author's Name | Takamochi Kanda |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | Koji Yamamoto |
| 3rd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 4th Author's Name | Noriyasu Kato |
| 4th Author's Affiliation | Allied Telesis K.K. (Allied Telesis) |
| 5th Author's Name | Shunji Taki |
| 5th Author's Affiliation | Allied Telesis K.K. (Allied Telesis) |
| 6th Author's Name | Takuya Negishi |
| 6th Author's Affiliation | Allied Telesis K.K. (Allied Telesis) |
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| Speaker | Author-1 |
| Date Time | 2023-01-20 11:45:00 |
| Presentation Time | 10 minutes |
| Registration for | SeMI |
| Paper # | SeMI2022-102 |
| Volume (vol) | vol.122 |
| Number (no) | no.341 |
| Page | pp.146-150 |
| #Pages | 5 |
| Date of Issue | 2023-01-12 (SeMI) |
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