Optimal Sensor Configuration for Body Temperature Estimation in Smart Clothing Using Machine Learning Models
It is shown that a high estimation accuracy can be achieved with a reduced number of sensors, which enables the simplification of the system and the reduction of implementation costs, and it is shown that the conclusions are consistent across different models, which indicates the robustness of the approach.