Research on optimization of wearable temperature measurement and positioning algorithm based on Bluetooth design

This study aims to improve the accuracy and energy efficiency of body temperature measurement and localization algorithms in wearable devices for health monitoring and user experience needs. The current algorithm has the problems of limited accuracy and vulnerability to interference. Therefore, a comprehensive algorithm optimization scheme is proposed. Through data preprocessing, temperature compensation and model establishment, the temperature measurement algorithm is optimized. At the same time, the Kalman filter algorithm and multi-point positioning are used to improve the positioning accuracy. Experimental verification shows that the optimized algorithm has a significant improvement in temperature measurement and positioning, and the research results provide important technical progress for the practicality of wearable devices.