Next Article in Journal
Adaptive Sampling of the Electrocardiogram Based on Generalized Perceptual Features
Next Article in Special Issue
An Efficient, Anonymous and Robust Authentication Scheme for Smart Home Environments
Previous Article in Journal
Ultra-Sensitive Flexible Pressure Sensor Based on Microstructured Electrode
Previous Article in Special Issue
F-DCS: FMI-Based Distributed CPS Simulation Framework with a Redundancy Reduction Algorithm
Open AccessArticle

Study of Human Thermal Comfort for Cyber–Physical Human Centric System in Smart Homes

1
Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan
2
School of Information Science and Engineering, Dalian Polytechnic University (DPU), No.1 Qinggongyuan, Dalian 116034, China
*
Authors to whom correspondence should be addressed.
Sensors 2020, 20(2), 372; https://doi.org/10.3390/s20020372
Received: 30 October 2019 / Revised: 26 December 2019 / Accepted: 6 January 2020 / Published: 9 January 2020
An environmental thermal comfort model has previously been quantified based on the predicted mean vote (PMV) and the physical sensors parameters, such as temperature, relative humidity, and air speed in the indoor environment. However, first, the relationship between environmental factors and physiology parameters of the model is not well investigated in the smart home domain. Second, the model that is not mainly for an individual human model leads to the failure of the thermal comfort system to fulfill the human’s comfort preference. In this paper, a cyber–physical human centric system (CPHCS) framework is proposed to take advantage of individual human thermal comfort to improve the human’s thermal comfort level while optimizing the energy consumption at the same time. Besides that, the physiology parameter from the heart rate is well-studied, and its correlation with the environmental factors, i.e., PMV, air speed, temperature, and relative humidity are deeply investigated to reveal the human thermal comfort level of the existing energy efficient thermal comfort control (EETCC) system in the smart home environment. Experimental results reveal that there is a tight correlation between the environmental factors and the physiology parameter (i.e., heart rate) in the aspect of system operational and human perception. Furthermore, this paper also concludes that the current EETCC system is unable to provide the precise need for thermal comfort to the human’s preference. View Full-Text
Keywords: human thermal comfort; heart rate; smart homes; cyber–physical systems human thermal comfort; heart rate; smart homes; cyber–physical systems
Show Figures

Figure 1

MDPI and ACS Style

Fang, Y.; Lim, Y.; Ooi, S.E.; Zhou, C.; Tan, Y. Study of Human Thermal Comfort for Cyber–Physical Human Centric System in Smart Homes. Sensors 2020, 20, 372. https://doi.org/10.3390/s20020372

AMA Style

Fang Y, Lim Y, Ooi SE, Zhou C, Tan Y. Study of Human Thermal Comfort for Cyber–Physical Human Centric System in Smart Homes. Sensors. 2020; 20(2):372. https://doi.org/10.3390/s20020372

Chicago/Turabian Style

Fang, Yuan; Lim, Yuto; Ooi, Sian E.; Zhou, Chenmian; Tan, Yasuo. 2020. "Study of Human Thermal Comfort for Cyber–Physical Human Centric System in Smart Homes" Sensors 20, no. 2: 372. https://doi.org/10.3390/s20020372

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop