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| Presentation | 2022-12-16 10:45 [Encouragement Talk] A study on CSI-based Human Detection System Using Semi-Supervised Machine Learning Naoki Osumi, Kosuke Tsuji, Ryotaro Isshiki, Yuhei Nagao, Leonardo Lanante, Masayuki Kurosaki, Hiroshi Ochi (Kyutech)  RCS2022-201 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, research on CSI (Channel State Information) based wireless sensing using wireless LAN has been gathering attention. CSI sensing is a technology that can be applied to human detection and location estimation by observing channel variations in the surrounding physical environment. In this paper, we analyze the CSI in each surrounding environments using beacon frames that are constantly transmitted from wireless LAN access points. We then focus on semi supervised learning using many unlabeled data and a few labeled data.In this paper, we report a result applying a semi supervised learning method to CSI analysis. By applying the proposed method, we report that the classification accuracy of more than 90％ was confirmed in person detection and person location estimation by learning from a combination of unlabeled data. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Wireless LAN Sensing / CSI / Machine Learning / Semio-Supervised Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 311, RCS2022-201, pp. 87-92, Dec. 2022. | |
| Paper # | RCS2022-201 | |
| Date of Issue | 2022-12-08 (RCS) | |
| 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 | RCS2022-201 |
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| Conference Information | |
| Committee | RCS NS |
| Conference Date | 2022-12-15 - 2022-12-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya Institute of Technology, and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2022-12-RCS-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on CSI-based Human Detection System Using Semi-Supervised Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Wireless LAN Sensing |
| Keyword(2) | CSI |
| Keyword(3) | Machine Learning |
| Keyword(4) | Semio-Supervised Learning |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Naoki Osumi |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Kosuke Tsuji |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 3rd Author's Name | Ryotaro Isshiki |
| 3rd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 4th Author's Name | Yuhei Nagao |
| 4th Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 5th Author's Name | Leonardo Lanante |
| 5th Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 6th Author's Name | Masayuki Kurosaki |
| 6th Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 7th Author's Name | Hiroshi Ochi |
| 7th Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
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| Speaker | Author-1 |
| Date Time | 2022-12-16 10:45:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2022-201 |
| Volume (vol) | vol.122 |
| Number (no) | no.311 |
| Page | pp.87-92 |
| #Pages | 6 |
| Date of Issue | 2022-12-08 (RCS) |
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