In-vehicle sensing for smart cars

X Zeng, F Wang, B Wang, C Wu… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Driving safety has been attracting more and more interest due to the unprecedented
proliferation of vehicles and the subsequent increase of traffic accidents. As such the …

Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence

HUR Siddiqui, A Akmal, M Iqbal, AA Saleem, MA Raza… - Sensors, 2024 - mdpi.com
Driving while drowsy poses significant risks, including reduced cognitive function and the
potential for accidents, which can lead to severe consequences such as trauma, economic …

Dual-Layer Ranking Feature Selection Method Based on Statistical Formula for Driver Fatigue Detection of EMG Signals.

F Naim, M Mustafa, N Sulaiman… - Traitement du …, 2022 - search.ebscohost.com
Electromyography (EMG) signals are one of the most studied inputs for driver drowsiness
detection systems. As the number of EMG features available can be daunting, finding the …

Navigation Voice Familiarity Can Affect Driving Stress and Emotions under Complex Road Conditions: Evidence from An Experimental Study

P Hao, M Wang, J Wang, Q Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
Navigational voice interaction is an important factor affecting driving behavior and safety
under complex road conditions. However, much of the research on navigational speech has …

A Review of Physiological Signal-Based Driving Behavior Analysis

K Gao, W Jia, R Du, LH Liu, X Liu - International Conference on SmartRail …, 2023 - Springer
The casualties and property damage caused by road traffic accidents have made road safety
a focal point of social concern. Human causes account for more than 90% of traffic …