Adaptive prediction of drivers' physiological indicators based on multi-layer recursive model

作者：Li Shi Wu; Ji Bing Kui; Sun Wen Cai^*; Wang Lin Hong; Si Dong Mei

来源：Transactions of Beijing Institute of Technology, 2012, 32(SUPPL.1): 30-33.

• Adaptive predictions
• Driver
• Heart rates
• Hierarchical model
• Key parameters
• Nonlinear characteristics
• Physiological indicators
• Prediction accuracy
• Prediction model
• Recursive models
• Time-varying characteristics

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.

• 出版日期2012