An IoT-based scheme for real time indoor personal exposure assessment

International audienceAir pollution is an important environmental issue that has a direct effect on human health. In this paper the development of an Internet of Things-based system for real time indoor personal exposure monitoring is described. The system was tested for real time personal exposure assessment to formaldehyde and CO 2 air pollutants. It provides accurate and real time personal exposure assessment. The real time and continuous monitoring capability makes it possible to better predict worker health risks and protect them from occupational overexposure to air pollution