Research on Driver Health Identification and Safety Assessment Method Based on Machine Learning
This article aims to study a machine learning based driver health recognition and safety assessment method to improve road traffic safety.A driver health status prediction model was constructed by collecting driver biometric data and driving behavior data.By using deep learning algorithms to analyze and process data,accurate recognition of driver fatigue,emotions,and other health states has been achieved.Tested in real driving scenarios,the results show that this method has high recognition accuracy and practicality,and has good application prospects in improving traffic safety.
machine learningdriver health recognitionsafety assessmentdeep learningtraffic security safety
万方数据
维普
