Prediction of Body Temperature from Smart Pillow by Machine Learning
Published: Aug 1, 2019
Abstract
Regression of Supervised Learning can predict continuous numerical values from labeled training data. A smart pillow consists of three temperature sensors, that can provide qualified data for regression algorithms to learn body temperature (BT). If BT can be extracted from a nonintrusive and unwired smart pillow accurately, it will be a big progress in the area of health care since BT is one of the most significant vital signs. Data are fed to...
Paper Details
Title
Prediction of Body Temperature from Smart Pillow by Machine Learning
Published Date
Aug 1, 2019
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