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| Presentation | 2021-05-14 13:45 A Microwave-based Object Recognition System Using Learning Techniques Viktor Erdelyi, Hamada Rizk, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.)  CS2021-10 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Object recognition has numerous applications including asset tracking, lifestyle analysis, and navigation assistance. However, state-of-the-art approaches tend to require electric objects or tagged objects, or they rely on privacy-sensitive data such as audio or visual images. In this paper, we present a microwave-based object recognition approach. We use two single-antenna software-defined radios to transmit microwave signals through objects and receive them on the opposite side. Then, we recognize the objects using a Random Forest classifier. We evaluated the proposed system using four objects and several microwave frequencies. Using only a 10 ms signal, the system can correctly detect the presence of the object 98.7% of the time, and it can differentiate between different objects 92% of the time. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | uninstrumented object recognition / microwave sensing / software-defined radio / machine learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 14, CS2021-10, pp. 37-42, May 2021. | |
| Paper # | CS2021-10 | |
| Date of Issue | 2021-05-06 (CS) | |
| 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 | CS2021-10 |
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| Conference Information | |
| Committee | CS CQ |
| Conference Date | 2021-05-13 - 2021-05-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | On-line |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. |
| Paper Information | |
| Registration To | CS |
| Conference Code | 2021-05-CS-CQ |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Microwave-based Object Recognition System Using Learning Techniques |
| Sub Title (in English) | |
| Keyword(1) | uninstrumented object recognition |
| Keyword(2) | microwave sensing |
| Keyword(3) | software-defined radio |
| Keyword(4) | machine learning |
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| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Viktor Erdelyi |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Hamada Rizk |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Hirozumi Yamaguchi |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
| 4th Author's Name | Teruo Higashino |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-05-14 13:45:00 |
| Presentation Time | 25 minutes |
| Registration for | CS |
| Paper # | CS2021-10 |
| Volume (vol) | vol.121 |
| Number (no) | no.14 |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2021-05-06 (CS) |
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