Body Temperature Related Risk Factor Assessment Using RFID Sensor Tags

Authors : Reyat YILMAZ, Özgür TAMER, Recep Alp KUT, Nihal FİDAN

Pages : 585-592

Doi:10.21605/cukurovaumfd.1334191

View : 50 | Download : 54

Publication Date : 2023-07-28

Article Type : Research Paper

Abstract :Detecting and identifying individuals with high body temperature can be critical for preventing the spread of diseases with high body temperature as a symptom like COVID-19. Thermal cameras or manual temperature inspection methods are widely used to identify elevated body temperature. In this work, we propose a novel method to identify and track people with higher disease risk, including the body temperature change of each person in a specified community and other risk factors like family backgrounds, habits, and social life. Results show that each person\`s body temperature can be tracked and recorded with the user’s ID number every time the user passes from specific locations equipped with RFID readers. By using an artificial intelligence-supported risk scoring system, a risk factor is evaluated based on the parameters defined accordingly. If the evaluated risk score of the user is above a specific value, the system generates an alarm to isolate the person with a high-risk score. Therefore, isolating any potentially infected individual helps health professionals reduce the spreading speed of infections through isolated communities.
Keywords : RFID, RFID etiket, Vücut ısı takibi, Risk değerlendirme, Makine öğrenmesi

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