Detection of driver health condition by monitoring driving behavior through machine learning from observation

作者：

Highlights：

• Showed the feasibility of identifying health condition in drivers by monitoring their actions.

• Built model of driver behavior through machine learning from observation.

• Falconet system employs Neuroevolution and Particle Swarm Optimization to build model.

摘要

•Showed the feasibility of identifying health condition in drivers by monitoring their actions.•Built model of driver behavior through machine learning from observation.•Falconet system employs Neuroevolution and Particle Swarm Optimization to build model.

论文关键词：Machine learning from observation,Modeling and simulation,Automotive safety,Driers afflicted with ADHD,Health monitoring,Artificial Intelligence

论文评审过程：Received 15 December 2020, Revised 22 July 2021, Accepted 31 March 2022, Available online 4 April 2022, Version of Record 22 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117167