Three Cs detection method using Wi-Fi radio wave statistics
© 2022 The Author(s). Published by Elsevier B.V..
Many infection preventing measures have been taken in COVID-19 situation. In particular, the approach called Three Cs avoidance is drawing attention. Three Cs means closed spaces, crowded places, and close-contact settings. This approach is taken in many business scenes regardless of individual situation. Such Three Cs are effective, but it is difficult for humans to always be aware of them. Various detection systems have been proposed to help understanding Three Cs situation. Most of them use cameras, CO2 sensors and so on. However, such system is costly due to introduce new equipment. Therefore, we propose a method for detecting Three Cs using only the existing widely used Wi-Fi equipment. Our method introduces unique detection parameters and performs statistical evaluation. As a result of constructing the system and evaluating it, we confirmed that it was possible to detect Three Cs with an accuracy of 86% or more.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:207 |
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| Enthalten in: |
Procedia computer science - 207(2022) vom: 21., Seite 343-350 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Suzuki, Nobuo [VerfasserIn] |
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| Anmerkungen: |
Date Revised 24.10.2022 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.procs.2022.09.068 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a © 2022 The Author(s). Published by Elsevier B.V. | ||
| 520 | |a Many infection preventing measures have been taken in COVID-19 situation. In particular, the approach called Three Cs avoidance is drawing attention. Three Cs means closed spaces, crowded places, and close-contact settings. This approach is taken in many business scenes regardless of individual situation. Such Three Cs are effective, but it is difficult for humans to always be aware of them. Various detection systems have been proposed to help understanding Three Cs situation. Most of them use cameras, CO2 sensors and so on. However, such system is costly due to introduce new equipment. Therefore, we propose a method for detecting Three Cs using only the existing widely used Wi-Fi equipment. Our method introduces unique detection parameters and performs statistical evaluation. As a result of constructing the system and evaluating it, we confirmed that it was possible to detect Three Cs with an accuracy of 86% or more | ||
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| 700 | 1 | |a Sato, Miyu |e verfasserin |4 aut | |
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