Dynamic Model-Based Monitoring of Human Thermal Comfort for Real-Time and Adaptive Control Applications

Today, we would like to share a new paper about dynamic model-based monitoring of human comfort for real-time adaptive control applications. It is authored by Ali Youssef, Nicolás Caballero and Jean Marie Arts, from the KU Leuven, and published in the open-access journal Biomedical.

The paper describes a dynamic, model-based monitoring system of a person’s thermal state and their thermoregulatory response. To do this, participants were placed in chambers of different environmental conditions whilst performing at different activity levels. Multiple parameters were measured including heart rate, skin temperature, heat flux, and ambient temperature. To measure the heat flux, greenTEG’s gSKIN Body Temp patch was used. A mathematical model was applied to the data to obtain the thermal sensation of participants, which describes how the environmental temperatures are perceived. The mathematical model was compared with the ASHRAE thermal comfort questionnaire completed by the participants to assess the accuracy.  The results proved a considerable accuracy.

We would like to congratulate the authors for the published paper and the results of their research. If you want to know more about our core body temperature sensors, please visit our webpage.

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