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Sensors, Vol. 23, Pages 2945: Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes
This article does not deal with the precise determination of the temperature of an individual person but focuses on the possibility of using infrared cameras for monitoring the health of the population. The aim is to use large amounts of infrared data from many locations to provide information to epidemiologists so they can have better information about potential outbreaks. This paper focuses on the long-term monitoring of the temperature of passing persons inside public buildings and the search for the most appropriate tools for this purpose and is intended as the first step towards creating a useful tool for epidemiologi...
Source: Sensors - March 8, 2023 Category: Biotechnology Authors: Ji ří Tesař Luk áš Muzika Ji ří Skála Tom áš Kohlschütter Milan Honner Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2901: Joint Masked Face Recognition and Temperature Measurement System Using Convolutional Neural Networks
ng Wang With the outbreak of COVID-19, epidemic prevention has become a way to prevent the spread of epidemics. Many public places, such as hospitals, schools, and office places, require disinfection and temperature measurement. To implement epidemic prevention systems and reduce the risk of infection, it is a recent trend to measure body temperature through non-contact sensing systems with thermal imaging cameras. Compared to fingerprints and irises, face recognition is accurate and does not require close contact, which significantly reduces the risk of infection. However, masks block most facial features, resulting i...
Source: Sensors - March 7, 2023 Category: Biotechnology Authors: Tsung-Han Tsai Ji-Xiu Lu Xuan-Yu Chou Chieng-Yang Wang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7345: Smartphone-Based Social Distance Detection Technology with Near-Ultrasonic Signal
e Liu Wang With the emergence of COVID-19, social distancing detection is a crucial technique for epidemic prevention and control. However, the current mainstream detection technology cannot obtain accurate social distance in real-time. To address this problem, this paper presents a first study on smartphone-based social distance detection technology based on near-ultrasonic signals. Firstly, according to auditory characteristics of the human ear and smartphone frequency response characteristics, a group of 18 kHz–23 kHz inaudible Chirp signals accompanied with single frequency signals are designed ...
Source: Sensors - September 27, 2022 Category: Biotechnology Authors: Jia Shu Wang Xu Xi Xue Liu Wang Tags: Article Source Type: research