Personal thermal comfort models based on physiological parameters measured by wearable sensors

S Liu - 2018 - escholarship.org
Existing HVAC systems involve little feedback from indoor occupants, resulting in
unnecessary cooling/heating waste and high percentage of discomfort. In addition, large …

Personal thermal comfort models with wearable sensors

S Liu, S Schiavon, HP Das, M Jin, CJ Spanos - Building and Environment, 2019 - Elsevier
A personal comfort model is an approach to thermal comfort modeling, for thermal
environmental design and control, that predicts an individual's thermal comfort response …

A novel theoretical model for predicting the individuals' thermal sensations based on air temperature and biomarkers measured by wearable devices

A Omidvar, J Kim - Building and Environment, 2023 - Elsevier
Optimal control of indoor thermal environments based on real-time monitoring of occupants'
feeling of warmth (aka thermal sensation) is one of the effective strategies to improve …

A systematic review of personal thermal comfort models

LA Martins, V Soebarto, T Williamson - Building and Environment, 2022 - Elsevier
Personal comfort models have shown to predict specific thermal comfort requirements more
accurately than aggregate models, increasing occupant acceptability and associated energy …

Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology

T Chaudhuri, D Zhai, YC Soh, H Li, L Xie - Energy and Buildings, 2018 - Elsevier
Prior knowledge of occupants' thermal comfort can facilitate informed control decision of
ambient thermal-conditioning in a building environment. This paper investigates the …

Personal comfort models based on a 6‐month experiment using environmental parameters and data from wearables

F Tartarini, S Schiavon, M Quintana, C Miller - Indoor air, 2022 - Wiley Online Library
Personal thermal comfort models are a paradigm shift in predicting how building occupants
perceive their thermal environment. Previous work has critical limitations related to the …

Towards non-intrusive and high accuracy prediction of personal thermal comfort using a few sensitive physiological parameters

C Shan, J Hu, J Wu, A Zhang, G Ding, LX Xu - Energy and Buildings, 2020 - Elsevier
The existing thermal comfort models that pursue high personal thermal comfort prediction
accuracy inevitably cause disturbances because they require data measured from multiple …

A comparative study of predicting individual thermal sensation and satisfaction using wrist-worn temperature sensor, thermal camera and ambient temperature sensor

A Aryal, B Becerik-Gerber - Building and Environment, 2019 - Elsevier
Recent advancements in Internet of Things and Machine Learning have opened the
possibility of deploying sensors at a large scale to monitor the environment and to model …

Thermal comfort modeling when personalized comfort systems are in use: Comparison of sensing and learning methods

A Aryal, B Becerik-Gerber - Building and Environment, 2020 - Elsevier
Centralized HVAC systems are usually unable to cater to individual requirements when
multiple occupants are present in the same zone. Personalized Comfort Systems (PCS) …

Towards online personalized-monitoring of human thermal sensation using machine learning approach

A Youssef, A Youssef Ali Amer, N Caballero, JM Aerts - Applied Sciences, 2019 - mdpi.com
Thermal comfort and sensation are important aspects of building design and indoor climate
control, as modern man spends most of the day indoors. Conventional indoor climate design …