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Head, Eye, and Hand Patterns for Driver Activity Recognition
2 references·11 citing·36 second hop
Head, Eye, and Hand Patterns for Driver Activity Recognition (2014)Head, Eye, and Hand Patterns for Driver A…Visual control when aiming at a far target. (1996)Visual control when aiming at…Where we look when we steer (1994)Where we look when we steerDetecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021) (2022)Detecting and recognizing dri…Driver behavior detection via adaptive spatial attention mechanism (2021)Driver behavior detection via…A survey on vision-based driver distraction analysis (2021)A survey on vision-based driv…Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network (2020)Towards Computationally Effic…Distracted driver detection by combining in-vehicle and image data using deep learning (2020)Distracted driver detection b…A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD (2020)A novel public dataset for mu…Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness (2019)Looking at the Driver/Rider i…Body Pose and Context Information for Driver Secondary Task Detection (2018)Body Pose and Context Informa…Ready for Take-Over? A New Driver Assistance System for an Automated Classification of Driver Take-Over Readiness (2017)Ready for Take-Over? A New Dr…Driver Distraction Using Visual-Based Sensors and Algorithms (2016)Driver Distraction Using Visu…Driver-Activity Recognition in the Context of Conditionally Autonomous Driving (2015)Driver-Activity Recognition i…Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Human Factors Issues Associated with Limited Ability Autonomous Driving Systems: Drivers’ Allocation of Visual Attention to the Forward Roadway (2013)What determines the take-over time? An integrated model approach of driver take-over after automated driving (2015)Facial Action Coding System (1978)Cell phone-induced failures of visual attention during simulated driving. (2003)Effects of visual and cognitive load in real and simulated motorway driving (2005)End-to-End Deep Learning for Driver Distraction Recognition (2017)Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving (2018)Automatic driver distraction detection using deep convolutional neural networks (2022)Forming inferences about some intraclass correlation coefficients. (1996)“Take over!” How long does it take to get the driver back into the loop? (2013)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)Driver distraction and driver inattention: Definition, relationship and taxonomy (2011)Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Distraction Detection Using Semi-Supervised Machine Learning (2015)Distracted Driver Detection Based on a CNN With Decreasing Filter Size (2021)Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques (2024)YawDD (2014)Driver Distraction Identification with an Ensemble of Convolutional Neural Networks (2019)AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception (2023)Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach (2019)A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning (2022)Distracted driving detection based on the fusion of deep learning and causal reasoning (2022)Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review (2024)How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving (2014)Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)Get ready for automated driving using Virtual Reality (2018)A Survey on Driver Behavior Analysis From In-Vehicle Cameras (2021)DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data (2021)Sensitivity of eye-movement measures to in-vehicle task difficulty (2005)Modeling Driver Behavior in a Cognitive Architecture (2006)The Influence of Anxiety on Visual Attentional Control in Basketball Free Throw Shooting (2009)Examination of gaze behaviors under in situ and video simulation task constraints reveals differences in information pickup for perception and action (2010)Sports vision training: A review of the state-of-the-art in digital training techniques (2016)
this work references cited by second hop

References

  • 1994Where we look when we steer1,018 cited
  • 1996Visual control when aiming at a far target.549 cited

Cited by

  • 2016Driver Distraction Using Visual-Based Sensors and Algorithms136 cited
  • 2017Ready for Take-Over? A New Driver Assistance System for an Automated Classification of Driver Take-Over Readiness135 cited
  • 2015Driver-Activity Recognition in the Context of Conditionally Autonomous Driving109 cited
  • 2020Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network103 cited
  • 2020Distracted driver detection by combining in-vehicle and image data using deep learning94 cited
  • 2019Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness85 cited
  • 2020A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD77 cited
  • 2021A survey on vision-based driver distraction analysis70 cited
  • 2022Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)70 cited
  • 2021Driver behavior detection via adaptive spatial attention mechanism56 cited
  • 2018Body Pose and Context Information for Driver Secondary Task Detection55 cited

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