Abstract
Monitoring body temperature in society has become an essential requirement under pandemic conditions. This study aims to monitor individuals' body temperatures and report those exceeding the limit to facilitate early detection of the pandemic. In areas such as public transportation, remote measurement of individuals' wrist temperatures has been implemented, and this data is associated with personalized transportation cards. Due to the effects of factors such as age, gender, activity level, environmental conditions, and biological clock on temperature, it has been proposed that variable threshold values should be established instead of a fixed limit temperature. The prototype developed for this purpose collects temperature data via the ThingSpeak platform and provides an infrastructure for training artificial intelligence to make personal limit temperature predictions.
Published Version
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