A Personalized Thermal Comfort Model with Input Variable Reduction

抄録

To improve indoor overall thermal comfort, this study proposes a model which offers different thermal sensation values for each person based on measured wrist skin temperature, heart rate and indoor body ambient air temperature. Compared with previous research, its input variables are obviously reduced, and its prediction accuracy for thermal preference is relatively reliable.