Results 11 to 20 of about 14,933 (208)
Selection of Measurement Method for Detection of Driver Visual Cognitive Distraction: A Review
IEEE Access, 2017 Driving distraction is a topic of great interest in the transport safety-research community, because it is now a primary cause of road accidents. A recent report has revealed that distraction is more alarming than previously thought, and a suitable ...
Norhasliza M. Yusoff +5 more
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Temporal Dashboard Gaze Variance (TDGV) Changes for Measuring Cognitive Distraction While Driving
Sensors, 2022 A difficult challenge for today’s driver monitoring systems is the detection of cognitive distraction. The present research presents the development of a theory-driven approach for cognitive distraction detection during manual driving based on temporal ...
Cyril Marx +2 more
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Driving distraction detection based on gaze activity
Electronics Letters, 2021 Driving distraction detection can effectively prevent the occurrence of traffic accidents. Thus, monitoring a driver's state is very important for road safety. At present, most driving distraction detection methods focus on singular aspects, such as gaze
Yingji Zhang, Xiaohui Yang, Zhiquan Feng
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Towards Imbalanced Multiclass Driver Distraction Identification
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Driver distraction is one of the leading causes of driving-related accidents worldwide. The ability to detect driver distraction preemptively is crucial to reducing the number of such accidents.
Kapotaksha Das +3 more
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Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification
Sensors, 2021 Distracted driving is the prime factor of motor vehicle accidents. Current studies on distraction detection focus on improving distraction detection performance through various techniques, including convolutional neural networks (CNNs) and recurrent ...
Hong Vin Koay +4 more
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Driver Fatigue and Distracted Driving Detection Using Random Forest and Convolutional Neural Network
Applied Sciences, 2022 Driver fatigue and distracted driving are the two most common causes of major accidents. Thus, the on-board monitoring of driving behaviors is key in the development of intelligent vehicles.
Bing-Ting Dong +2 more
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Frontiers in Psychology, 2021 Current cognitive models of addiction imply that speeded detection and increased distraction from substance cues might both independently contribute to the persistence of addictive behavior.
Janika Heitmann +2 more
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IET Intelligent Transport Systems, 2022 Driving distraction caused by cellphone usage has become a common safety threat. As distraction detection methods based on driver's position or eye movement may raise privacy issues, a promising way is to analyze the vehicle's lane‐keeping performance ...
Tao Liu +3 more
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IEEE Access, 2022 Driver distraction behavior is prone to induce traffic accidents. Therefore, it is necessary to detect it to caution drivers in time for traffic safety. In driver behavior recognition, the diversity of behaviors and driving environment can have a certain
Shugang Liu +4 more
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A Low-Cost Prototype for Driver Fatigue Detection
Multimodal Technologies and Interaction, 2019 Driver fatigue and inattention accounts for up to 20% of all traffic accidents, therefore any system that can warn the driver whenever fatigue occurs proves to be useful.
Tiago Meireles, Fábio Dantas
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