Research on health bracelet based on BP neural network algorithm

The health bracelet composed of multiple sensors has large data acquisition, low data accuracy and poor fault tolerance. Therefore, the market application of health bracelet is limited. To solve the above problems, a multi-sensor data fusion method based on BP neural network is proposed. The simulation results show that the BP neural network model for multi-sensor data fusion processing, greatly improving the data accuracy, operation speed and robustness of multi-sensor.