Research on smart bracelets based on the expert system and BP neural network

Smart bracelets are composed of multiple sensors, which collect a large amount of data, have diverse data formats, and high data calculation complexity, resulting in slow calculation speed, low data accuracy, and poor fault tolerance, which is not conducive to the widespread application of smart bracelets. To attack these problems, a multi-sensor data fusion method based on expert systems and BP neural networks is proposed. The simulation results show that the data calculation model based on expert systems and BP neural networks greatly improves the computational speed, data accuracy, and robustness of multiple sensors.