Real-time occupancy estimation using environmental parameters

@article{Masood2015RealtimeOE,
  title={Real-time occupancy estimation using environmental parameters},
  author={Mustafa K. Masood and Yeng Chai Soh and Victor W.-C. Chang},
  journal={2015 International Joint Conference on Neural Networks (IJCNN)},
  year={2015},
  pages={1-8}
}
An integral part of visualizing an air-conditioned space is to know its occupancy in real-time, in order to make intelligent control decisions about the operation of its Air Conditioning and Mechanical Ventilation (ACMV) system. The sensing mechanisms used in occupancy estimation such as cameras and wearable sensors are generally intrusive and expensive. Alternatively, the effect that occupants have on environmental parameters such as CO2, temperature, humidity and pressure can be utilized to… CONTINUE READING