Evaluating driver cognitive distraction by eye tracking: From simulator to driving
暂无分享,去创建一个
[1] Tanja Schultz,et al. Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS , 2014, Front. Hum. Neurosci..
[2] Goro Obinata,et al. Quantitative Evaluation of Mental Workload by Using Model of Involuntary Eye Movement , 2009, HCI.
[3] M. Rizzo,et al. Looking but not seeing , 1987, Neurology.
[4] Hirofumi Aoki,et al. Effect of Sliding Window Time on the Classification of Driver Mental Workload Performance Using Near-Infrared Spectroscopy (NIRS) , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[5] Makoto Inagami,et al. Towards online detection of driver distraction: Eye-movement simulation based on a combination of vestibulo–ocular reflex and optokinetic reflex models , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.
[6] Goro Obinata,et al. Evaluating the influence of distractions to drivers based on reflex eye movement model , 2010, IFAC HMS.
[7] Hirofumi Aoki,et al. Evaluation of Driver Distraction with Changes in Gaze Direction Based on a Vestibulo-Ocular Reflex Model , 2017 .
[8] Goro Obinata,et al. On-line Method for Evaluating Driver Distraction of Memory-decision Workload Based on Dynamics of Vestibulo-ocular Reflex , 2008 .
[9] Makoto Inagami,et al. The Effect of Visual Stimulus on Voluntary Eye Movement Based on a VOR/OKR Model , 2017 .
[10] W. Becker,et al. Gaze Stabilization by Optokinetic Reflex (OKR) and Vestibulo-ocular Reflex (VOR) During Active Head Rotation in Man , 1997, Vision Research.
[11] Hirofumi Aoki,et al. A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy , 2018, Front. Hum. Neurosci..
[12] SchmidhuberJürgen. Deep learning in neural networks , 2015 .
[13] Qiang Ji,et al. In the Eye of the Beholder: A Survey of Models for Eyes and Gaze , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Marc Garbey,et al. Measuring Mental Workload with EEG+fNIRS , 2017, Front. Hum. Neurosci..
[15] Keiichi Uchimura,et al. Driver Inattention Monitoring System for Intelligent Vehicles: A Review , 2009, IEEE Transactions on Intelligent Transportation Systems.
[16] M. Okada,et al. Novel method to classify hemodynamic response obtained using multi-channel fNIRS measurements into two groups: exploring the combinations of channels , 2014, Front. Hum. Neurosci..
[17] Peter Kenning,et al. Near-infrared spectroscopy (NIRS) as a new tool for neuroeconomic research , 2014, Front. Hum. Neurosci..
[18] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[19] Aamir Saeed Malik,et al. EEG based driver cognitive distraction assessment , 2014, 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS).
[20] Kilseop Ryu,et al. Evaluation of mental workload with a combined measure based on physiological indices during a dual task of tracking and mental arithmetic , 2005 .
[21] Goro Obinata,et al. Mental Workloads Can Be Objectively Quantified in Real-time Using VOR (Vestibulo-Ocular Reflex) , 2008 .
[22] Meike Jipp,et al. Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study , 2017, Front. Hum. Neurosci..
[23] Johan Engström,et al. Effects of visual and cognitive load in real and simulated motorway driving , 2005 .
[24] Le Anh Son,et al. Effect of Mental Workload and Aging on Driver Distraction Based on the Involuntary Eye Movement , 2017 .
[25] Tatsuya Suzuki,et al. Parameters optimization using genetic algorithm technique for Vestibulo-ocular reflex model , 2015 .
[26] D A Robinson,et al. The use of control systems analysis in the neurophysiology of eye movements. , 1981, Annual review of neuroscience.