Wi-Fi-Based Indoor Patient Location Identifier for COVID-19

Autor: N. Suba Rani, A. Noble Mary Juliet, R. Sam Rishi, S. R. Dheepiga
Rok vydání: 2021
Předmět:
Zdroj: Computer Networks and Inventive Communication Technologies ISBN: 9789811637278
Popis: Nowadays, more number of people are affected by COVID by other infected people. The coronavirus spreads through an infected person when he/she talks, coughs or sneezes in front of others. Before getting COVID test results, infected person may be moving along with normal people in shopping malls, education campus and industries. It is difficult to identify uninfected people who are moving along with the infected people. This paper proposed location identification model which is used to track and locate the infected person or recovered person inside the building. The location sensing model in wireless network and global positioning system (GPS) cannot be used to track users inside the buildings. The proposed system uses Wi-Fi-based model for monitoring patients and identifying the location of infected people in different floors of the building. RSSI technology is used for tracking the mobile device that is carried by patients in the indoor environments. Then, it finds the other uninfected people near them by using their smartphones. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Databáze: OpenAIRE