ArticleInternational journal of environmental research and public health2022
A Physiological-Signal-Based Thermal Sensation Model for Indoor Environment Thermal Comfort Evaluation.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Thermal comfort in relation to housing and tuberculosis status among individuals aged ≥15 years in Padang, West Sumatra Province, Indonesia.Frontiers in public health · 2026Article
- A Review on Human Comfort Factors, Measurements, and Improvements in Human-Robot Collaboration.Sensors (Basel, Switzerland) · 2022Review
- Influence of the Thermal Environment on Occupational Health and Safety in Automotive Industry: A Case Study.International journal of environmental research and public health · 2022Article
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Authors and funding
8 authors.
Funding
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Abstract
Traditional heating, ventilation, and air conditioning (HVAC) control systems rely mostly on static models, such as Fanger's predicted mean vote (PMV) to predict human thermal comfort in indoor environments. Such models consider environmental parameters, such as room temperature, humidity, etc., and indirect human factors, such as metabolic rate, clothing, etc., which do not necessarily reflect the actual human thermal comfort. Therefore, as electronic sensor devices have become widely used, we propose to develop a thermal sensation (TS) model that takes in humans' physiological signals for consideration in addition to the environment parameters. We conduct climate chamber experiments to collect physiological signals and personal TS under different environments. The collected physiological signals are ECG, EEG, EMG, GSR, and body temperatures. As a preliminary study, we conducted experiments on young subjects under static behaviors by controlling the room temperature, fan speed, and humidity. The results show that our physiological-signal-based TS model performs much better than the PMV model, with average RMSEs 0.75 vs. 1.07 (lower is better) and R
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Registered trials
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