Combining EEG and eye-tracking for cognitive and physiological states monitoring: a systematic review [PDF]
Monitoring situational awareness is critical in highly demanding environments where sustained attention and vigilance are essential for safety and performance.
Maria Rivas-Vidal +7 more
doaj +2 more sources
Abstract Driver inattention and drowsiness are part causes of road accidents in Malaysia. Based on statistics from the Royal Malaysian Police (2016), deaths from road accidents amount is 7, 512 in 2016 compared to 6, 706 in 2015, which is the highest number of deaths recorded.
Anis Hazirah Rodzi +2 more
openaire +2 more sources
Remote Photoplethysmography and Motion Tracking Convolutional Neural Network with Bidirectional Long Short-Term Memory: Non-Invasive Fatigue Detection Method Based on Multi-Modal Fusion [PDF]
Existing vision-based fatigue detection methods commonly utilize RGB cameras to extract facial and physiological features for monitoring driver fatigue. These features often include single indicators such as eyelid movement, yawning frequency, and heart ...
Lingjian Kong +4 more
doaj +2 more sources
Somatotopic disruption of the functional connectivity of the primary sensorimotor cortex in complex regional pain syndrome type 1. [PDF]
This study demonstrates disturbances in the function and functional connectivity of the primary sensorimotor cortex of complex regional pain syndrome patients, likely contributing to their spontaneous pain. Abstract In complex regional pain syndrome (CRPS), the representation area of the affected limb in the primary sensorimotor cortex (SM1) reacts ...
Hotta J +5 more
europepmc +2 more sources
Intelligent Eye Tracker Integrated with Cylindrical Capacitive Sensors for Chronic Fatigue Assessment. [PDF]
A wearable capacitive eye tracker for chronic fatigue assessment is presented, utilizing cylindrically shaped capacitive sensors made of a carbon nanotube‐paper composite. By integrating a novel fatigue‐induction protocol with machine learning, the device achieves 0.75‐sensitivity and 0.73‐specificity, providing a practical alternative to existing ...
Li T +6 more
europepmc +2 more sources
PERCLOS Threshold for Drowsiness Detection during Real Driving
S. T. Lin +4 more
openaire +2 more sources
System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures. [PDF]
Bajaj JS +5 more
europepmc +3 more sources
This paper presents a camera-based prototype sensor for detecting fatigue and drowsiness in drivers, which are common causes of road accidents. The evaluation of the detector operation involved eight professional truck drivers, who drove the truck ...
Łukasz Dziuda +12 more
doaj +1 more source
Geometric Brownian motion (GBM) random process model appears to be an excellent choice for modeling realizations of perclos signals [PDF]
Ebrahimbabaie Varnosfaderani, Pouyan +1 more
openaire +2 more sources
Environmental and Work Factors That Drive Fatigue of Individual Haul Truck Drivers
Many factors influence the fatigue state of human beings, and fatigue has a significant adverse effect on the health and safety of the haulage operators in the mine.
Elaheh Talebi +2 more
doaj +1 more source

