Estimation of Thermal Sensation Based on Wrist Skin Temperatures
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/4/420 |
| _version_ | 1798041344458883072 |
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| author | Soo Young Sim Myung Jun Koh Kwang Min Joo Seungwoo Noh Sangyun Park Youn Ho Kim Kwang Suk Park |
| author_facet | Soo Young Sim Myung Jun Koh Kwang Min Joo Seungwoo Noh Sangyun Park Youn Ho Kim Kwang Suk Park |
| author_sort | Soo Young Sim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:20:14Z |
| format | Article |
| id | doaj.art-98492ff5f69a4600b47ecc4533c8bd27 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:20:14Z |
| publishDate | 2016-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-98492ff5f69a4600b47ecc4533c8bd272022-12-22T04:00:10ZengMDPI AGSensors1424-82202016-03-0116442010.3390/s16040420s16040420Estimation of Thermal Sensation Based on Wrist Skin TemperaturesSoo Young Sim0Myung Jun Koh1Kwang Min Joo2Seungwoo Noh3Sangyun Park4Youn Ho Kim5Kwang Suk Park6Interdisciplinary Program for Bioengineering, College of Engineering, Seoul National University, Seoul 03080, KoreaInterdisciplinary Program for Bioengineering, College of Engineering, Seoul National University, Seoul 03080, KoreaInterdisciplinary Program for Bioengineering, College of Engineering, Seoul National University, Seoul 03080, KoreaSamsung Advanced Institute of Technology, 130 Samsung-ro, Yeoungtong-gu, Suwon-si, Gyeonggi-do 16678, KoreaSamsung Advanced Institute of Technology, 130 Samsung-ro, Yeoungtong-gu, Suwon-si, Gyeonggi-do 16678, KoreaSamsung Advanced Institute of Technology, 130 Samsung-ro, Yeoungtong-gu, Suwon-si, Gyeonggi-do 16678, KoreaDepartment of Biomedical Engineering, College of Medicine, Seoul National University, Seoul 03080, KoreaThermal 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.http://www.mdpi.com/1424-8220/16/4/420thermal sensationthermal comfortwrist skin temperaturewearable device |
| spellingShingle | Soo Young Sim Myung Jun Koh Kwang Min Joo Seungwoo Noh Sangyun Park Youn Ho Kim Kwang Suk Park Estimation of Thermal Sensation Based on Wrist Skin Temperatures Sensors thermal sensation thermal comfort wrist skin temperature wearable device |
| title | Estimation of Thermal Sensation Based on Wrist Skin Temperatures |
| title_full | Estimation of Thermal Sensation Based on Wrist Skin Temperatures |
| title_fullStr | Estimation of Thermal Sensation Based on Wrist Skin Temperatures |
| title_full_unstemmed | Estimation of Thermal Sensation Based on Wrist Skin Temperatures |
| title_short | Estimation of Thermal Sensation Based on Wrist Skin Temperatures |
| title_sort | estimation of thermal sensation based on wrist skin temperatures |
| topic | thermal sensation thermal comfort wrist skin temperature wearable device |
| url | http://www.mdpi.com/1424-8220/16/4/420 |
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