Adaptive Prediction of Drivers’ Physiological Indicators Based on Multi-Layer Recursive Model

A prediction model based on multi-layer recursive model is proposed to predict the driver's physiological indicators parameters. To study the application of the multi-layer recursive model in prediction of the driver's physiological indicators, heart rate was selected as the key parameter of the driver's physiological indicators, and Matlab was used to simulate the model. The result shows that the multi-layer recursive model can track the trends of the system with higher prediction accuracy due to time-varying characteristics and nonlinear characteristics of the driver's physiological indicators.