A data acquisition system for monitoring thermoregulation performance is introduced.
An adaptive non-intrusive technique for learning thermal comfort is proposed.
Two heuristics are used to generate confidence interval for predicting thermal comfort.
Males and females have different thermoregulation performance and thermal comfort signatures.
The approach enables HVAC control based on real-time occupant comfort requirements.