Affective Driver State Monitoring for Personalized, Adaptive ADAS
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Ruzena Bajcsy | Katherine Rose Driggs-Campbell | Vijay Govindarajan | R. Bajcsy | K. Driggs-Campbell | Vijay Govindarajan
[1] Anders Lindgren,et al. State of the Art Analysis: An Overview of Advanced Driver Assistance Systems (ADAS) and Possible Human Factors Issues , 2006 .
[2] Majid Komeili,et al. Vigilance lapse identification using sparse EEG electrode arrays , 2016, 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).
[3] Ruzena Bajcsy,et al. Semiautonomous Vehicular Control Using Driver Modeling , 2014, IEEE Transactions on Intelligent Transportation Systems.
[4] Ruzena Bajcsy,et al. Improved driver modeling for human-in-the-loop vehicular control , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[5] Petros A. Ioannou,et al. Personalized Driver/Vehicle Lane Change Models for ADAS , 2015, IEEE Transactions on Vehicular Technology.
[6] Patrick Olivier,et al. N-backer: An auditory n-back task with automatic scoring of spoken responses , 2011, Behavior research methods.
[7] O. Mano,et al. Forward collision warning with a single camera , 2004, IEEE Intelligent Vehicles Symposium, 2004.
[8] N. Kamel,et al. Deep in thought while driving: An EEG study on drivers’ cognitive distraction , 2014 .
[9] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[10] Marc Garbey,et al. Interacting with human physiology , 2007, Comput. Vis. Image Underst..
[11] Heiko Wersing,et al. Personalization in advanced driver assistance systems and autonomous vehicles: A review , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[12] J. Dusek,et al. Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers , 2009 .
[13] W. Klimesch,et al. The electrophysiological dynamics of interference during the stroop task , 2008 .
[14] T Chau,et al. Infrared thermal imaging as a physiological access pathway: a study of the baseline characteristics of facial skin temperatures , 2009, Physiological measurement.
[15] Jianqiang Wang,et al. A Forward Collision Warning Algorithm With Adaptation to Driver Behaviors , 2016, IEEE Transactions on Intelligent Transportation Systems.
[16] Dario D. Salvucci. Modeling Driver Behavior in a Cognitive Architecture , 2006, Hum. Factors.
[17] Mohan M. Trivedi,et al. Speech Emotion Analysis: Exploring the Role of Context , 2010, IEEE Transactions on Multimedia.
[18] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[19] Mohan M. Trivedi,et al. Pose invariant affect analysis using thin-plate splines , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[20] V. Gallese,et al. Thermal infrared imaging in psychophysiology: Potentialities and limits , 2014, Psychophysiology.
[21] A. Hamish Jamson,et al. Potential benefits of an adaptive forward collision warning system , 2008 .
[22] Davis E. King,et al. Dlib-ml: A Machine Learning Toolkit , 2009, J. Mach. Learn. Res..
[23] Timothy L. Brown,et al. Speech-Based Interaction with In-Vehicle Computers: The Effect of Speech-Based E-Mail on Drivers' Attention to the Roadway , 2001, Hum. Factors.
[24] Nadine Matton,et al. Using theta and alpha band power to assess cognitive workload in multitasking environments. , 2018, International Journal of Psychophysiology.
[25] Ayanna M. Howard,et al. Retrieving experience: Interactive instance-based learning methods for building robot companions , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[26] Ioannis T. Pavlidis,et al. StressCam: non-contact measurement of users' emotional states through thermal imaging , 2005, CHI Extended Abstracts.
[27] Daniel V. McGehee,et al. Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator , 2002, Hum. Factors.
[28] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[29] Francesco Borrelli,et al. A Learning-Based Framework for Velocity Control in Autonomous Driving , 2016, IEEE Transactions on Automation Science and Engineering.
[30] Christine L. Lisetti. Affective Intelligent Car Interfaces with Emotion Recognition , 2005 .
[31] Klaus Bengler,et al. “Take over!” How long does it take to get the driver back into the loop? , 2013 .
[32] Tzyy-Ping Jung,et al. EEG-based drowsiness estimation for safety driving using independent component analysis , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.
[33] Junqiang Xi,et al. Learning and Inferring a Driver's Braking Action in Car-Following Scenarios , 2018, IEEE Transactions on Vehicular Technology.
[34] Hermann Winner,et al. Three Decades of Driver Assistance Systems: Review and Future Perspectives , 2014, IEEE Intelligent Transportation Systems Magazine.
[35] Sandra G. Hart,et al. Nasa-Task Load Index (NASA-TLX); 20 Years Later , 2006 .