Infrared thermography of human face for monitoring thermoregulation performance and estimating personal thermal comfort
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A data acquisition system for monitoring thermoregulation performance is introduced.

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An adaptive non-intrusive technique for learning thermal comfort is proposed.

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Two heuristics are used to generate confidence interval for predicting thermal comfort.

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Males and females have different thermoregulation performance and thermal comfort signatures.

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The approach enables HVAC control based on real-time occupant comfort requirements.

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