Е-Публикации
Технически университет - София

Abstract: Developing and evaluating high-precision temperature sensors have significant implications for physical activity monitoring and health assessment. Precision temperature sensors, in particular, are highlighted for their crucial role in monitoring thermoregulation during physical activity. This article uses Allan's Deviation, a time-domain analysis method, to investigate a selection of high-precision temperature sensors for their error and noise parameters. The results show the noise and error characteristics to steer the development of appropriate algorithms for filtering and fusion of the sensor data, which can increase their reliability. In addition, the paper presents the original experimental setup that allows for the investigation and characterization of integral temperature sensors.

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