Abstract: Driver fatigue is a leading cause of traffic accidents, underscoring the urgent need for advanced fatigue detection systems. The integration of physiological signals, especially ...
Abstract: Recent advances in non-invasive cardiac imaging techniques have highlighted the potential of magnetocardiography (MCG) as a powerful diagnostic tool. However, existing approaches face ...
Abstract: Electromyography (EMG) signals are extensively investigated inputs for driver drowsiness detection algorithms due to its ability to monitor muscle activity. However, the use of facial muscle ...
Abstract: Ensuring driver alertness is essential for road safety, as fatigue-related accidents significantly contribute to global traffic fatalities. Prolonged driving, lack of rest, and monotonous ...
GREENACRES, Fla. — The Palm Beach County Sheriff’s Office says a woman died Friday after suffering a medical emergency behind the wheel in a Greenacres neighborhood. According to the crash report, the ...
Abstract: Driver drowsiness is a critical safety issue and a leading cause of road accidents worldwide. This paper proposes a real-time system for driver drowsiness detection and location tracking ...
Abstract: Drowsiness is the main factor that leads to road accidents. Statistics show that drowsy drivers are responsible for accidents. A National Sleep Foundation survey indicates that 20% of ...
Abstract: Extended driving hours without rest impose significant strain on drivers, leading to drowsiness and a substantial rise in fatal accidents each year. The existing Driver drowsiness detection ...
Hewlett Packard Enterprise Co. delivered record revenue for the latest quarter, which came in better than Wall Street had modeled, and said it’s broadening its customer base for its ...
Design a lightweight machine-learning pipeline that analyzes single-channel frontal EEG data (Fp1/Fp2) and accurately detects driver drowsiness in real-time. 50 Hz IIR notch filter + 0.5–30 Hz ...
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