Vision Based Dynamic Thermal Comfort Control Using Fuzzy Logic and Deep Learning
A wide range of techniques exist to help control the thermal comfort of an occupant in indoor environments. A novel technique is presented here to adaptively estimate the occupant’s metabolic rate. This is performed by utilising occupant’s actions using computer vision system to identify the activit...
Main Authors: | Mahmoud Al-Faris, John Chiverton, David Ndzi, Ahmed Isam Ahmed |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/10/4626 |
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