Search Results - "DROWSINESS"

Adaptive Multi-Modal Driver Drowsiness Detection Using Temporal Convolutional Networks.

Authors: Karunamurthy, A. Gurumoorthy, P.

Source: International Scientific Journal of Engineering & Management. Jun2026, Vol. 5 Issue 6, p1-20. 20p.

Cancer History and Subjective Sleepiness in Obstructive Sleep Apnea: A Real-World Observational Study.

Authors: Sartori, Giulia Di Chiara, Claudia Gretter, Andrea et al.

Source: Journal of Clinical Medicine. Jun2026, Vol. 15 Issue 12, p4573. 14p.

Evaluating inattention behaviour of Indian bus drivers using AI-powered driver monitoring systems.

Authors: Thakur, Dev Singh Sekhar, Chalumuri Ravi Velmurugan, S.

Source: Canadian Journal of Civil Engineering. 6/4/2026, Vol. 53, p1-14. 14p.

A Study on the Correlation Between Driving Behavior and ECG Data in Driving Fatigue.

Authors: Wang, Jiayou Zhang, Chaoqun Xu, Haocheng et al.

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3441. 16p.

Modifiable Barriers to Assessment and Rehabilitation in Justice-Involved Individuals with Self-Reported TBI: The Role of Subjective Sleepiness and Mood.

Authors: Turecka Brown, Sarka Pontius, Maddy Gallagher, Jennifer et al.

Source: Brain Sciences (2076-3425). May2026, Vol. 16 Issue 5, p520. 19p.

Iot-Enabled Real-Time Driver Monitoring System for Drowsiness and Alcohol Detection Using Arduino and OpenCV.

Authors: B, Usha Rani Imran, Mohammad Nishanth, S. et al.

Source: EPJ Web of Conferences. 4/16/2026, Vol. 363, p1-8. 8p.

TRANS IQ: Iot-Embedded Based Truck Monitoring System for Driver Fatigue Detection, Temperature Analysis and GPS Tracking.

Authors: Poongothai, M. Thenmozhi, M. Subiksha, S. et al.

Source: Advances in Consumer Research. Dec2025, Vol. 2 Issue 6, p2238-2246. 9p.

DEVELOPMENT OF DRIVER DROWSINESS CLASSIFICATION BASED ON EEG SIGNALS USING LONG SHORT-TERM MEMORY METHOD.

Authors: ZALDA, Khouliya RULANINGTYAS, Riries AIN, Khusnul et al.

Source: Diagnostyka. 2026, Vol. 27 Issue 2, p1-12. 12p.

Designing an advanced early warning system to detect drivers' distraction and drowsiness – A pilot study.

Authors: Boujenfa, Sabrina Fiedler, Petr Dluhá, Jitka et al.

Source: EUROPEAN Transport Research Review. 3/31/2026, Vol. 18 Issue 1, p1-19. 19p.

Daytime sleepiness and specific food cravings: The moderating role of insulin sensitivity.

Authors: Romaker, Emma K. Krueger, Mason J. Goldfinger, Mollie S. et al.

Source: PLoS ONE. 3/9/2026, Vol. 21 Issue 3, p1-16. 16p.

Predictive effects of daily sleep on social motivation and social activity.

Authors: Lind, Felicia Geranmayeh, Anahita Holding, Benjamin C. et al.

Source: Journal of Social Psychology. 2026, Vol. 166 Issue 2, p223-235. 13p.

Subjects: Sleep quality, Motivation (Psychology), Drowsiness, Social interaction, Sleep duration

Connected Embedded System for Drowsiness Detection Based on a Reconfigurable Set of Features.

Authors: Belakhdhar, Ibtissam¹ (AUTHOR)

Source: Sensors (14248220). Feb2026, Vol. 26 Issue 4, p1195. 10p.

A review on AI-driven drowsiness detection systems using deep-learning.

Authors: G Ajudiya, Chetan S Panchal, Sweta

Source: EPJ Web of Conferences. 1/21/2026, Vol. 348, p1-18. 18p.

Re-purposing EEG Artifacts: Eye Blink Artifact Features as Predictors of Drowsiness Using Deep Learning.

Authors: Egambaram, Ashvaany Badruddin, Nasreen Yahya, Norashikin

Source: Applied Artificial Intelligence. Dec2025, Vol. 39 Issue 1, p1-20. 20p.

Subjects: Drowsiness, Deep learning, Long short-term memory, Blinking (Physiology), Traffic safety, Electroencephalography, Feature extraction, Machine learning

Sex-Specific Interrelationship Between Sleep Quality and Daytime Sleepiness in Predicting Injury Occurrence in Physically Active University Students.

Authors: Domaradzki, Jarosław¹ (AUTHOR)

Source: Journal of Clinical Medicine. Jan2026, Vol. 15 Issue 1, p111. 21p.

The Role of Sleep Quality and Sleepiness in the Relationship Between Cognitive Flexibility and Fatigue.

Authors: Ozkutlu, Ozge Ozun, Ozgu Inal

Source: Psychiatric Quarterly. Dec2025, Vol. 96 Issue 4, p735-749. 15p.

Subjects: Sleep quality, Cognitive flexibility, Mediation (Statistics), Fatigue (Physiology), Adults, Drowsiness

Drowsiness Classification in Young Drivers Based on Facial Near-Infrared Images Using a Convolutional Neural Network: A Pilot Study.

Authors: Nomura, Ayaka Yoshida, Atsushi Torii, Takumi et al.

Source: Sensors (14248220). Nov2025, Vol. 25 Issue 21, p6755. 18p.

Awake to Learn: Enhancing Online Learning Engagement Through EEG-Based Real-Time Drowsiness Detection and Alarm Feedback.

Authors: Kim, Suhye Im, Chang-Hwan

Source: International Journal of Human-Computer Interaction. May2026, p1-16. 16p. 6 Illustrations.

Machine learning-based augmented vision for detecting driver drowsiness.

Authors: Ramarao, Gude Soni, Palangthod Vaishnavi, Agraharam Sri et al.

Source: Multimedia Tools & Applications. Oct2025, Vol. 84 Issue 33, p41829-41851. 23p.

Subjects: Machine learning, Drowsiness, Convolutional neural networks, Object recognition (Computer vision), Augmented reality, Traffic safety, Wakefulness

Aircrew rostering workload patterns and associated fatigue and sleepiness scores in short and medium haul flights in Brazil.

Authors: Rodrigues, Tulio E. Furlan, Eduardo Helene, André F. et al.

Source: Scientific Reports. 10/29/2025, Vol. 15 Issue 1, p1-13. 13p.