PERCLOS: An Alertness Measure of the Past [PDF]
The growing number of fatigue related accidents in recent years has become a serious concern. Accidents caused by fatigue, or more precisely impaired alertness, in transportation and in mining operations involving heavy equipment can lead to ...
Edwards, Dave +4 more
core +5 more sources
Real time detection of driver fatigue based on CNN‐LSTM
Fatigue driving is one of the main causes of traffic accidents. In order to solve this problem, a new Convolutional Neural Network and Long Short‐Term Memory (CNN‐LSTM) based real‐time driver fatigue detection method is proposed.
Ming‐Zhou Liu +3 more
doaj +2 more sources
Deteksi Kedipan dengan Metode CNN dan Percentage of Eyelid Closure (PERCLOS) [PDF]
Pengembangan teknologi mengenai face detection dan eyes detection melaju sangat pesat, sehingga peneliti berlomba-lomba meneliti metode dan algoritma yang optimal untuk pengaplikasian di kehidupan sehari-hari, mulai dari pengamanan biometrics sampai ...
Septiandi, Lutfi Ananditya +2 more
core +3 more sources
Lightweight and Real-Time Driver Fatigue Detection Based on MG-YOLOv8 with Facial Multi-Feature Fusion [PDF]
Driver fatigue is a primary factor in traffic accidents and poses a serious threat to road safety. To address this issue, this paper proposes a multi-feature fusion fatigue detection method based on an improved YOLOv8 model.
Chengming Chen +5 more
doaj +2 more sources
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
Fatigue affects operators’ safe operation in a nuclear power plant’s (NPP) main control room (MCR). An accurate and rapid detection of operators’ fatigue status is significant to safe operation.
Licao Dai, Yu Li, Meihui Zhang
doaj +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
PERCLOS-based technologies for detecting drowsiness: current evidence and future directions. [PDF]
AbstractDrowsiness associated with sleep loss and circadian misalignment is a risk factor for accidents and human error. The percentage of time that the eyes are more than 80% closed (PERCLOS) is one of the most validated indices used for the passive detection of drowsiness, which is increased with sleep deprivation, after partial sleep restriction, at
Abe T.
europepmc +3 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

