SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions

作者：

Highlights：

• Intelligent framework based on BCI and EEG for detecting drivers’ distractions.

• Realistic driving scenario with a steering wheel, pedals, and immersive simulator.

• Promising performance of ML models when detecting different driving distractions.

• Increment of the distractions detection accuracy when including contextual data.

摘要

•Intelligent framework based on BCI and EEG for detecting drivers’ distractions.•Realistic driving scenario with a steering wheel, pedals, and immersive simulator.•Promising performance of ML models when detecting different driving distractions.•Increment of the distractions detection accuracy when including contextual data.

论文关键词：Brain–Computer Interfaces,Electroencephalographic signal,Cognitive state,Distraction detection,Framework,Machine Learning

论文评审过程：Received 15 November 2021, Revised 18 February 2022, Accepted 25 April 2022, Available online 6 May 2022, Version of Record 12 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117402