
The dataset contains temperature measurements on the surface of the face taken on 109 people. Each patient (identified by Patient ID in dataset) acclimatized in a room with a temperature of 22-24 degrees Celsius. Then the person completed a survey, during which they provided their: age (column Survey - age [years]), gender (column Survey - Gender), temperature measurement using a pyrometer thermometer (column Survey - temperature [°C]), and pulse measurement using a pulse oximeter (column Survey - measured pulse [BPM]). After that, the examined person stood in front of the contactless temperature measurement system (using a thermal camera), which was continuously calibrated to the black body at a distance of 1.5-3 meters (column Distance between camera and patient [m]). Then, several hundred temperature measurements were taken on each person in the following ways: Median temperature on face [°C] Median temperature on face, 1% of pixels with max temperature [°C] Median temperature on face, 5% of pixels with max temperature [°C] Median temperature on face, 10% of pixels with max temperature [°C] Median temperature in the center of the eyes (3x3 pixels) [°C] Median temperature measured at the corners of the eyes (3x3 pixels) [°C] Additionally, the system automatically estimated: the age of the examined person (column Estimated Age [years]), the pulse of the examined person (column Estimated Pulse [BPM]), and gender (Estimated Gender). According to [1], the measured temperature on the surface of the face is influenced by the age of the measured person. As part of the project, a Binary Regression Tree was developed, which considers (estimated) age when calculating the temperature on the surface of the face (column Temperature calculated by Binary Tree Regression algorithm [°C]). [1] Cheung, Ming & Chan, Lung & Lauder, I & Kumana, Cyrus. (2012). Detection of body temperature with infrared thermography: accuracy in detection of fever. Hong Kong medical journal = Xianggang yi xue za zhi / Hong Kong Academy of Medicine. 18 Suppl 3. 31-4.
The dataset was created as part of the project with number POIR.01.01.01-00-1215/20-00 funded by the Polish National Center for Research and Development (NCBiR).
Fever, Computer and Information Science, Medicine, Health and Life Sciences, Temperature, COVID-19, Temperature, COVID 19, Fever detection, Fever Detection
Fever, Computer and Information Science, Medicine, Health and Life Sciences, Temperature, COVID-19, Temperature, COVID 19, Fever detection, Fever Detection
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