Estimation of Thermal Sensation Based on Wrist Skin Temperatures
| Autor: | Kwang Suk Park, Youn Ho Kim, Seungwoo Noh, Myung Jun Koh, Kwang Min Joo, Soo Young Sim, Sangyun Park |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Adult
Male thermal sensation Materials science Correlation coefficient thermal comfort 020209 energy wearable device wrist skin temperature 02 engineering and technology 010501 environmental sciences Wrist Thermal sensation lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry Wrist skin medicine.artery 0202 electrical engineering electronic engineering information engineering medicine Humans Thermosensing lcsh:TP1-1185 Electrical and Electronic Engineering Radial artery Instrumentation Simulation Ulnar artery Monitoring Physiologic 0105 earth and related environmental sciences integumentary system Thermal comfort Atomic and Molecular Physics and Optics body regions Temperature gradient medicine.anatomical_structure Quality of Life Female Skin Temperature Biomedical engineering |
| Zdroj: | Sensors, Vol 16, Iss 4, p 420 (2016) Sensors (Basel, Switzerland) Sensors; Volume 16; Issue 4; Pages: 420 |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s16040420 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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