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Kalman Filter Models for the Prediction of Individualised Thermal Work Strain
[chapter]
2018
Kalman Filters - Theory for Advanced Applications
It is important to monitor and assess the physiological strain of individuals working in hot environments to avoid heat illness and performance degradation. The body core temperature (Tc) is a reliable indicator of thermal work strain. However, measuring Tc is invasive and often inconvenient and impractical for real-time monitoring of workers in high heat strain environments. Seeking a better solution, the main aim of the present study was to investigate the Kalman filter method to enable the
doi:10.5772/intechopen.71205
fatcat:w4lqvymw25dvplhzjzpsxckx2q