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IEEE DOI 1209
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Drivers' willingness to engage with their mobile phone: The influence of phone function and road demand,
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How many times do young drivers actually touch their smartphone screens while driving?,
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IEEE DOI 1904
Vehicles, Monitoring, Trajectory, Roads, Tracking, Cellular phones, Cameras, Assistive driving, distraction recognition, trajectory classification BibRef
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Young people use their smartphone all the time- even when crossing the street?,
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IEEE DOI 1911
Task analysis, Accidents, Vehicles, Real-time systems, Music, Degradation, Probability, Driver distraction, phone-use, reaction time BibRef
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IEEE DOI 2002
Vehicles, Accelerometers, Telematics, Gyroscopes, Insurance, Sensor phenomena and characterization, Telematics, kernel-based k-means clustering BibRef
Between Post-Flâneur and Smartphone Zombie: Smartphone Users' Altering Visual Attention and Walking Behavior in Public Space,
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Detecting phone-related pedestrian distracted behaviours via a two-branch convolutional neural network,
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IEEE DOI 2109
Vehicles, Acceleration, Monitoring, Sensors, Insurance, Cost function, Vehicle dynamics, Driving-style, smartphone, insurance telematics, ground vehicles BibRef
Vision Based Detection of Driver Cell Phone Usage and Food Consumption,
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Vehicles, Cameras, Cellular phones, Head, Roads, Visualization, Monitoring, Driver monitoring, deep learning, driver posture classification BibRef
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Vehicles, Cellular phones, Mobile handsets, Feature extraction, Wheels, Accidents, Driver cell phone usage detection, unsupervised learning BibRef
Mahbubur Rahman, S.M.,
Tracking-based detection of driving distraction from vehicular interior video,
IEEE DOI 1611
Cellular phones BibRef
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IEEE DOI 1612
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Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos,
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Estimating Gaze Direction of Vehicle Drivers Using a Smartphone Camera,
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Driver Monitoring, Eyes, Gaze, Drowsiness .