Statistical Estimation of Body Temperature from Skin Temperature for Smart Band
| Autor: | Yeonghyeon Lee, Young-Tae Kwak, Yongduck You |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 010401 analytical chemistry 0211 other engineering and technologies Physical activity Skin temperature Body temperature measurement 02 engineering and technology 01 natural sciences Measure (mathematics) 0104 chemical sciences 021105 building & construction business Algorithm Wearable technology |
| Zdroj: | ICTC |
| DOI: | 10.1109/ictc46691.2019.8939975 |
| Popis: | As wearable devices have been activated, smart band functions are becoming more diverse. They have many functions that measure a person’s physical activity, and body temperature is one of them among these functions. Therefore, this paper proposes a statistical evaluation method based on actual body temperature measurement values for smart band’s body temperature measurement. The proposed method estimate skin temperature to body temperature by obtaining two approximate Gaussian functions and mapping these Gaussian functions to each other. This is the application of the central limit theorem of statistics. The proposed method will verifies the accuracy and validity of the body temperature assessment through our experiments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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