Predicting Fatigue-Associated Aberrant Driving Behaviors Using a Dynamic Weighted Moving Average Model With a Long Short-Term Memory Network Based on Heart Rate Variability.

Cheng-Yu TsaiHe-In CheongRobert HoughtonWen-Hua HsuKang-Yun LeeJiunn-Horng KangYi-Chun KuanHsin-Chien LeeCheng-Jung WuLok-Yee Joyce LiYin-Tzu LinShang-Yang LinIulia ManoleArnab MajumdarWen-Te Liu

Published in: Human factors (2023)

The established models can be used in realistic driving scenarios.

Keyphrases

heart rate variability
heart rate
climate change
network analysis
magnetic resonance
working memory
sleep quality
blood pressure
contrast enhanced
physical activity
depressive symptoms