References
- Ahlstrom, C. and Kircher, K., "Review of real-time visual driver distraction detection algorithms", Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research, 2010.
- Azman, A., Meng, Q. and Edirisinghe, E., "Non intrusive physiologic almeasurement for driver cognitive distraction detection: Eye and mouth movements", 2010 3rd International Conference on Advanced Computer Theory and Engineering, 3(pp 595-599), 2010.
- Conesa, J., Electrodermal palmar asymmetry and nostril dominance, Perceptual and Motor Skills, 80(1), 211-216, 1995. https://doi.org/10.2466/pms.1995.80.1.211
- Dingus, T. A., Klauer, S. G., Neale, V. L., Petersen, A., Lee, S. E., Sudweeks, J., Perez, M. A., Hankey, J., Ramsey, D., Gupta, S., Bucher, C., Doerzaph, Z. R., Jermeland, J. and Knipling, R. R., The 100-Car Naturalistic Driving Study, Phase II - Results of the 100-Car Field Experiment, DOT HS 810 593, USDOT, 2006.
- Donmez, B., Boyle, L. N. and Lee, J. D., Safety implications of providing real-time feedback to distracted drivers, Accident Analysis & Prevention, 39(3), 581-590, 2007. https://doi.org/10.1016/j.aap.2006.10.003
- D'Orazioa, T., Leoa, M., Guaragnella, C. and Distante, A., A Visual Approach for Driver Inattention Detection, Pattern Recognition, 40(8), 2341-2355, 2007. https://doi.org/10.1016/j.patcog.2007.01.018
- Lee, J. D., Young, K. L. and Regan, M. A., Defining driver distraction: Theory, Effects, and Mitigation, CRC Press, 2009.
- Liang, Y., Detecting Driver Distraction, Ph.D. Thesis, University of Iowa, 2009.
- Liang, Y., Reyes, M. L. and Lee, J. D., Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines, IEEE Transactions on Intelligent Transportation Systems, 8(2), 340-350, 2007. https://doi.org/10.1109/TITS.2007.895298
- Macdonald, W. A. and Hoffmann, E. R., Review of Relationships Between Steering Wheel Reversal Rate and Driving Task Demand, Human Factors, 22(6), 733-739, 1980. https://doi.org/10.1177/001872088002200609
- Mehler, B., Reimer, B., Coughlin, J. F. and Dusek, J. A., Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers, Transportation Research Board of the National Academies, 2138, 6-12, 2009. https://doi.org/10.3141/2138-02
- Miller, G. A., The Magic Number Seven Plus or Minus Two: Some Limits on Our Capacity to Process Information, Psychological Review, 63(2), 81-97, 1956. https://doi.org/10.1037/h0043158
- Miyaji, M., Kawanaka, H. and Oguri, K., "Effect of Pattern Recognition Features on Detection for Driver's Cognitive Distraction, 2010 13th International IEEE Conference on Intelligent Transportation Systems", (pp 605-610), 2010.
- Niedermeyer, E. and Lopes da Silva, F., Electroencephalography: Basic Principles, Clinical Applications and Related Fields, 5th ed., Lipincott Williams & Wilkins, 2005.
- Palinko, O., Kun, A. L., Shyrokov, A. and Heeman, P., "Estimating Cognitive Load Using Remote Eye Tracking in a Driving Simulator", Proceedings of the 2010 symposium on Eye-Tracking Research & Applications, (pp 141-144), 2010.
- Rakauskas, M. E., Gugerty, L. J. and Ward, N. J., Effects of naturalistic cell phone conversations on driving performance, Journal of Safety Research, 35(4), 453-464, 2004. https://doi.org/10.1016/j.jsr.2004.06.003
- Ranney, T. A., Harbluk, J. L. and Noy, Y. I., Effects of voice technology on test track driving performance: Implications for driver distraction, Human Factors, 47(2), 439-454, 2005. https://doi.org/10.1518/0018720054679515
- Road Traffic Authority, Traffic accident statistics analysis 2009, Road Traffic Authority, 2009.
- Rouder, J. N., Morey, R. D., Cowan, N., Zwilling, C. E., Morey, C. C. and Pratte, M. S., An Assessment of Fixed-Capacity Models of Visual Working Memory, Proceedings of the National Academy of Sciences of the United States of America, 105(16), 5975-5979, 2008. https://doi.org/10.1073/pnas.0711295105
- Shamir, M., Eidelman, L. A., Floman, Y., Kaplan, L. and Pizov, R., Pulse Oximetry Plethysmographic Waveform during Changes in Blood Volume, British Journal of Anaesthesia, 82(2), 178-181, 1999. https://doi.org/10.1093/bja/82.2.178
- Sheridan, T. B., Driver Distraction From a Control Theory Perspective, Human Factors: The Journal of the Human Factors and Ergonomics Society, 46(4), 587-599, 2004. https://doi.org/10.1518/hfes.46.4.587.56807
- Su, M. C., Hsiung C. Y. and Huang, D. Y., "A Simple Approach to Implementing a System for Monitoring Driver Inattention", Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, (pp 429-433), 2006.
- Sweller, J., Cognitive Load during Problem Solving: Effects on Learning, Cognitive Science, 12(2), 257-285, 1988. https://doi.org/10.1207/s15516709cog1202_4
- Treat, J. R., Tumbas, N. S., McDonald, S. T., Shinar, D. and Hume, R. D., Tri-level study of the causes of traffic accidents, HS-034-3-535-77, USDOT, 1977.
- Yekhshatyan, L., Detecting distraction and degraded driver performance with visual behavior metrics, Ph.D. Thesis, University of Iowa, 2010.
- Yoshitsugu, N., Miki, Y., Ito, T. and Matsunaga, M., Study of Driver Distraction Due to Voice Interaction, Paper 2003-01-0127, SAE 2003.
- Zhang, H., Smith, M. and Dufour, R., A final report of safety vehicles using adaptive Interface Technology (Phase II: Task 7C: Visual Distraction, USDOT, 2008.