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| Presentation | 2021-01-21 16:00 [Poster Presentation] Performance Evaluation of Channel State Information Clustering for Wireless LAN-based Object Detection Systems Eiki Ando, Hiroki Senji, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT)  CQ2020-77 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Various object detection schemes utilizing channel state information (CSI) in WLAN systems have been investigated recently. To improve the objective detection performance, CSI feedback information in IEEE802.11ac can be analyzed and utilized. The authors have proposed a frequency-domain feature clustering scheme for a machine-learning based object detection utilizing CSI in WLAN systems where CSI frames are captured from nearby wireless devices. In this article, we evaluate object detection probability of the object detection system utilizing measured CSI in an indoor propagation environment and clarify the effectiveness of the proposed clustering scheme. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Wireless LAN / MIMO / channel state information / object detection / clustering / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 314, CQ2020-77, pp. 68-69, Jan. 2021. | |
| Paper # | CQ2020-77 | |
| Date of Issue | 2021-01-13 (CQ) | |
| 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 | CQ2020-77 |
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| Conference Information | |
| Committee | CQ CBE |
| Conference Date | 2021-01-20 - 2021-01-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, Video Communication, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2021-01-CQ-CBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Evaluation of Channel State Information Clustering for Wireless LAN-based Object Detection Systems |
| Sub Title (in English) | |
| Keyword(1) | Wireless LAN |
| Keyword(2) | MIMO |
| Keyword(3) | channel state information |
| Keyword(4) | object detection |
| Keyword(5) | clustering |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Eiki Ando |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Hiroki Senji |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Osamu Muta |
| 3rd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 4th Author's Name | Tomoki Murakami |
| 4th Author's Affiliation | NTT Corporation (former NTT) |
| 5th Author's Name | Shinya Otsuki |
| 5th Author's Affiliation | NTT Corporation (former NTT) |
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| Speaker | Author-1 |
| Date Time | 2021-01-21 16:00:00 |
| Presentation Time | 45 minutes |
| Registration for | CQ |
| Paper # | CQ2020-77 |
| Volume (vol) | vol.120 |
| Number (no) | no.314 |
| Page | pp.68-69 |
| #Pages | 2 |
| Date of Issue | 2021-01-13 (CQ) |
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