Next Article in Journal
Poly(3-Methylthiophene) Thin Films Deposited Electrochemically on QCMs for the Sensing of Volatile Organic Compounds
Previous Article in Journal
A Survey on Underwater Acoustic Sensor Network Routing Protocols
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(4), 420;

Estimation of Thermal Sensation Based on Wrist Skin Temperatures

Interdisciplinary Program for Bioengineering, College of Engineering, Seoul National University, Seoul 03080, Korea
Samsung Advanced Institute of Technology, 130 Samsung-ro, Yeoungtong-gu, Suwon-si, Gyeonggi-do 16678, Korea
Department of Biomedical Engineering, College of Medicine, Seoul National University, Seoul 03080, Korea
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Angelo Maria Sabatini
Received: 17 December 2015 / Revised: 8 March 2016 / Accepted: 18 March 2016 / Published: 23 March 2016
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [2607 KB, uploaded 23 March 2016]   |  


Thermal comfort is an essential environmental factor related to quality of life and work effectiveness. We assessed the feasibility of wrist skin temperature monitoring for estimating subjective thermal sensation. We invented a wrist band that simultaneously monitors skin temperatures from the wrist (i.e., the radial artery and ulnar artery regions, and upper wrist) and the fingertip. Skin temperatures from eight healthy subjects were acquired while thermal sensation varied. To develop a thermal sensation estimation model, the mean skin temperature, temperature gradient, time differential of the temperatures, and average power of frequency band were calculated. A thermal sensation estimation model using temperatures of the fingertip and wrist showed the highest accuracy (mean root mean square error [RMSE]: 1.26 ± 0.31). An estimation model based on the three wrist skin temperatures showed a slightly better result to the model that used a single fingertip skin temperature (mean RMSE: 1.39 ± 0.18). When a personalized thermal sensation estimation model based on three wrist skin temperatures was used, the mean RMSE was 1.06 ± 0.29, and the correlation coefficient was 0.89. Thermal sensation estimation technology based on wrist skin temperatures, and combined with wearable devices may facilitate intelligent control of one’s thermal environment. View Full-Text
Keywords: thermal sensation; thermal comfort; wrist skin temperature; wearable device thermal sensation; thermal comfort; wrist skin temperature; wearable device

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Sim, S.Y.; Koh, M.J.; Joo, K.M.; Noh, S.; Park, S.; Kim, Y.H.; Park, K.S. Estimation of Thermal Sensation Based on Wrist Skin Temperatures. Sensors 2016, 16, 420.

Show more citation formats Show less citations formats

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

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top