Enhanced Generalization Performance in Deep Learning for Monitoring Driver Distraction: A Systematic Review
K Dinakaran, F Kavin, P Anitha… - … in Applied Sciences …, 2024 - semarakilmu.com.my
Automatic analysis of driver behaviour is one of the most difficult subjects in the field of
intelligent transportation systems. This study focuses on disturbed driver stance identification …
intelligent transportation systems. This study focuses on disturbed driver stance identification …
Comparative Study of Machine Learning Algorithms in Classifying HRV for the Driver's Physiological Condition
Abstract Heart Rate Variability (HRV) may be used as a psychological marker to assess
drivers' states from physiological signals such as an electrocardiogram (ECG) …
drivers' states from physiological signals such as an electrocardiogram (ECG) …
Relating Driver Behaviour and Response to Messages through HMI in Autonomous and Connected Vehicular Environment
MZ Iskandarani - Cogent Engineering, 2022 - Taylor & Francis
Mental, physical, and emotional workload is the main source for the driver's stress, fatigue,
and distraction, which affects the driving tasks performed by the driver in terms of responding …
and distraction, which affects the driving tasks performed by the driver in terms of responding …
Effect of Driver Response on Efficiency of Vehicular Communication using Penalty Cost Function (EVCPCF)
MZ Iskandarani - The Open Transportation Journal, 2023 - opentransportationjournal.com
Background and Objective: This study examines and takes into account three key timing
factors that have an impact on the effectiveness of human-machine interfaces (HVI). A …
factors that have an impact on the effectiveness of human-machine interfaces (HVI). A …