AI Article Synopsis
- The Three Cs approach for COVID-19 prevention focuses on avoiding closed spaces, crowded places, and close-contact settings, which are critical for reducing infection risk.
- While various detection systems using cameras and CO2 sensors exist, they can be expensive and require new equipment.
- The proposed method leverages existing Wi-Fi infrastructure to effectively detect the Three Cs, achieving over 86% accuracy with unique detection parameters and statistical analysis.
Article Abstract
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.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578941 | PMC |
| http://dx.doi.org/10.1016/j.procs.2022.09.068 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!