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| Presentation | 2022-01-21 09:20 [Short Paper] A Preliminary Study on Activity Recognition by Wi-Fi Imaging Kazuki Okawara (Osaka Univ.), Akira Uchiyama (Osaka Univ./JST PRESTO), Viktor Erdelyi (Osaka Univ.), Tomoki Murakami, Hirantha Abeysekera (NTT), Teruo Higashino (Osaka Univ.)  SeMI2021-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, research on human activity recognition using Wi-Fi has been widely conducted.Wi-Fi can solve problems such as cost and privacy, but it also has challenges that require learning for each environment. In order to solve this problem, we use Wision, which is an imaging method that uses a receiving antenna array to calculate the intensity of radio waves in each direction. Wision uses a geometrically determined phase difference based on the angle of arrival and receiving antenna distance to calculate the intensity in each direction. Therefore, it is possible to do imaging independent of the environment. If the position and posture of a person can be recognized from the imaging results, it is expected to be applied to human position estimation and activity recognition. In this paper, we implemented Wision using an array of four receiving antennas, and investigated the activity recognition by imaging. As a result of experiments conducted in an environment where there is no reflection of radio waves from the surroundings, we confirmed that the imaging results change according to the human activities in the range of 60 to 120 degrees from the plane of the antenna array. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Wireless Sensing / Wi-Fi Imaging / Activity Recognition / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 333, SeMI2021-72, pp. 75-79, Jan. 2022. | |
| Paper # | SeMI2021-72 | |
| Date of Issue | 2022-01-13 (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 | SeMI2021-72 |
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| Conference Information | |
| Committee | SeMI |
| Conference Date | 2022-01-20 - 2022-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2022-01-SeMI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Preliminary Study on Activity Recognition by Wi-Fi Imaging |
| Sub Title (in English) | |
| Keyword(1) | Wireless Sensing |
| Keyword(2) | Wi-Fi Imaging |
| Keyword(3) | Activity Recognition |
| Keyword(4) | |
| Keyword(5) | |
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| 1st Author's Name | Kazuki Okawara |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Akira Uchiyama |
| 2nd Author's Affiliation | Osaka University/Japan Science and Technology Agency, PRESTO (Osaka Univ./JST PRESTO) |
| 3rd Author's Name | Viktor Erdelyi |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
| 4th Author's Name | Tomoki Murakami |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 5th Author's Name | Hirantha Abeysekera |
| 5th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 6th Author's Name | Teruo Higashino |
| 6th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-21 09:20:00 |
| Presentation Time | 10 minutes |
| Registration for | SeMI |
| Paper # | SeMI2021-72 |
| Volume (vol) | vol.121 |
| Number (no) | no.333 |
| Page | pp.75-79 |
| #Pages | 5 |
| Date of Issue | 2022-01-13 (SeMI) |
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