References
- Healey, J. A., Picard, R. W. (2005). Detecting stress during real-world driving tasks using physiological sensors., 6(2), 156-166.
- McCartt, A. T., Hellinga, L. A., Bratiman, K. A. (2006). Cell Phones and Driving: Review of Research., 7, 89-106.
- McEvoy, Suzanne P., Stevenson, Mark R., McCartt, Anne T. et al. (2005). Role of Mobile Phones in Motor Vehicle Crashes Resulting in Hospital Attendance: A Case-Crossover Study., 331(7514), 428-430.
- Walsha, Shari P., Whitea, Katherine M., Hydea Melissa K., Watsonb, Barry. (2008). Dialling and driving: factors influencing intentions to use a mobile phone while driving., 40(6), 1893-1900.
- Lee, John D., McGehee, Daniel V., Brown, Timothy L., Reyes, Michelle L. (2002). Collision warning timing, driver distraction, and driver response to imminent rear-end collisions in a high-fidelity driving simulator., 44(2), 314-334.
- Shabeer, H. A., Wahidabanu, R. S. D. (2009). Automatic Switching of Mobile Phone Profile Based on Current Speed of the Vehicle and Mobile Phone Security., August 2009, 78-86.
- Redelmeier, D. A., Tibshirani, R. J. Association between cellular-telephone calls and motor vehicle collisions., 336, 453-458.
- Jie Yang, Simon Sidhom, Gayathri Chandrasekaran, Tam Vu, Hongbo Liu, Nicolae Cecan, Yingying Chen, Gruteser, Marco, Martin, Richard P. (2011). Detecting driver phone use leveraging car speakers. In Proceedings of the International Conference on Mobile Computing and Networking, September 19-23 (pp. 97-108). Las Vegas, Nevada, USA.
- Hon Lung Chu, Vijay Raman, Jeffrey Shen, Romit Roy Choudhury, Aman Kansal and Bahl, Victor. (2011). In-Vehicle Driver Detection Using Mobile Phone Sensors. In Proceedings of the International Conference on Mobile Systems, Applications and Services, June 28-July 1. Washington, USA.
- Amardeep Sathyanarayana, Sandhya Nageswaren and Hassan Ghasemzadeh. (2008). Body sensor networks for driver distraction identification. In Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, September 22-24 (pp. 120-125). Columbus Ohio, USA: IEEE.
- McCall, J. C., Mallick, S. P., Trivedi, M. M. (2003). Real-time Driver Affect Analysis and Televiewing System. In Proceedings of the IEEE Intelligent Vehicles Symposium, June 9-11 (pp. 372-377). Columbus Ohio, USA: IEEE.
- Huang, K, Trivedi, M. M. (2003). Driver Head Pose and View Estimation with Single Omnidirectional Video Stream. In Proceedings of the 3International Conference on Computer Vision Systems, April 3 (pp. 44-51). Graz, Austria: IEEE.
- Sharon, T., Selker, T, Wagner, L., Frank, A. J. (2005). Car Coach: A Generalized Layered Architecture for Educational Car Systems. In Proceedings of the IEEE International Conference on Software-Science, Technology, Engineering, February 22-23 (pp. 13-22). Herzelia, Israel: IEEE.
- McCall, J. C., Achler, O., Trivedi, M. M. (2004). Design of an Instrumented Vehicle Test Bed for Developing a Human Centered Driver Support System. In Proceedings of the IEEE Intelligent Vehicles Symposium, June 14-17 (pp. 483-488). Parma, Italy: IEEE.
- Harbluk, J. L., Noy, Y. I., Eizeman, M. (2002).Canada: Road Safety Directorate and Motor Vehicle Regulation.
- Strayer, D. L., Drews, F. A. and Johnston, W. A. (2003). Cell phone-induced failures of visual attention during simulated driving., 9(1), 23-32.
- Crundall, D., Bains, M., Chapman, P. and Underwood, G. (2005). Regulating conversation during driving: A problem for mobile telephone?, 8(3), 197-211.
- James, N. (2011). Don't Be Distracted about Distracted Driving., 25(3), 24-31.
- Azman, A., Meng, Q. and Edirisinghe, E. (2010). Correlation between eye movements and mouth movements to detect driver cognitive distraction. In Proceedings of the International Conference: Brain Inspired Cognitive Systems (BICS), 16July 2010. Madrid, Spain.
- Rongben, W., Lie, G., Bingliang, T. and Lisheng, J. (2004). Monitoring mouth movement for driver fatigue or distraction with one camera. In, October 3-6, (pp. 314-319). Washington, D. C, USA: IEEE.
- Hayhoe, M. M. (2004). Advances in relating eye movements and cognition., 6(2), 267-274.
- Liang, Y., Lee, J. D. and Reyes, M. L. (2007). Non-intrusive detection of driver cognitive distraction in real-time using Bayesian networks., 2018, 1-8.
- Fisher, L. D., Knodler, M. and Muttart, J. (2009).England: The New England Transportation Consortium.
- Pohl, J., Birk, W. and Westervall, L. (2007). A driver-distraction-based lane-keeping assistance system": Proceedings of the Institution of Mechanical Engineers, Part I., 221(14), 541-552.
- Takemura, K., Ido, J., Matsumoto, Y. and Ogasawara, T. (2003). Development of Non-contact drive monitoring system for advanced safety vehicle: IEEE/ASME Proceedings of the International Conference ‘Advanced Intelligent Mechatronics’, July 20-24 (pp. 1119-1122). Kobe, Japan: IEEE
- Wesley, A., Shastri, D. and Pavlidis, I. (2010). A Novel method to monitor driver's distractions. In Proceedings of the International Conference: Human Factors in Computing Systems (CHI), April 10-15 (pp. 4273-4278). Atlanta, Georgia: ACM.
- Smith, P., Shah, M. and Vitoria, N. L. (2003). Determining driver visual attention with one camera., 4(4), 2058-2218.
- Jannette, M. and Mark, V. (2009). Comparison of manual vs. speech-based interaction with in-vehicle information systems., 41(5), 924-930.
- Gellatly, A. and Dingus, T. (1998). Speech Recognition and Automotive Applications: Using Speech to Perform In-Vehicle Tasks. In Proceedings of the International Conference: Human Factors '98, October 5-9 (pp. 1247-1251). Santa Monica, CA: Human Factors and Ergonomics.
- Liang, Y., Lee, J. D. and Reyes, M. L. (2007). Non-intrusive detection of driver cognitive distraction in real-time using Bayesian networks., 2018, 1-8.
- Liang, Y., Reyes, M. L. and Lee, J. D. (2007a). Real-time detection of driver cognitive distraction using Support Vector Machines., 8(2), 340-350.
- Zhang, Y., Owechko, Y. and Zhang, J. (2007). Driver cognitive workload estimation: a data-driven perspective: IEEE Proceedings of the International Conference. In(pp. 642-647). Washington, D. C., USA: IEEE.
- Green, P. (1999).Ann Arbor, Michigan, USA: University of Michigan, Transportation Research Institute.
- Abdul Shabeer, H. and Wahida Banu, R. S. D (2011). A Novel Approach to Avoid Mobile Phone Accidents While Driving and Cost- Effective Fatalities., 3(3), 29-39.
- Janne, L. and Jason, H. (2011). Undistracted Driving: A Mobile Phone that Doesn't Distract. In Proceedings of the 12Workshop on Mobile Computing Systems and Applications, March 1-2 (pp. 146-154). Phoenix, Arizona, USA: ACM.
- Stewart, Marie. (2010).USA: USA Distracted Driving Foundation.
- Klauer, S. G., Dingus, T. A., Neale, V. L., Sudweeks, J. D. and Ramsey, D. J. (2006).Washington, DC: National Highway Traffic Safety Administration.
- (2010). Leidschendam, the Netherlands.
- National Center for Statistics and Analysis. (2009).Washington, DC: National Highway Traffic Safety Administration.
- Scott, David A.Retrieved July 6, 2011, from
- Ogg, Erica.Retrieved July 1, 2006, from
- Benton, Joe.Retrieved April 20, 2006, from
- Times of India. Article.Retrieved October 4, 2011, from
- Kent, Peter.Retrieved April 18, 2008, from
- Thaindian News. Article.Retrieved September 15, 2008, from
- Deutsche Welle.Retrieved April 30, 2010, from
- Dipak Kumar Dash.Retrieved August 17, 2009, from
Language: English, Latvian
Page range: 193 - 208
Published on: Jun 19, 2012
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
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© 2012 H. Shabeer, Wahida Banu, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons License.