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.
关键词
机器学习/驾驶员健康识别/安全评估/深度学习/交通安全
Key words
machine learning/driver health recognition/safety assessment/deep learning/traffic security safety
维普
万方数据