Current indoor microclimate control has difficulties in considering the occupant’s dynamic thermal needs, therefore, occupants may feel cold or hot even though the air conditioner or other equipment is working, which results in energy waste. This project aims at estimating the occupant’ personal factors like clothing status and metabolic status to assess his or her thermal feelings, thus changing the adaptive envelope to change the solar radiation into the room to control the temperature dynamically.
Vision-Based Individual Factors Acquisition for Thermal Comfort Assessment in a Built Environment
Liu, J., Foged, I. W. & Moeslund, T. B., 2020, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).IEEE, p. 372-376 5 p.
This project is funded by Realdania and the Obel Foundation.
Collaborator: Isak Worre Foged