Apply brake to slow down and turn on the emergency flashers Enforce a break period using preset starter-kill circuit Dispatch for help if no response or improvement over a period of time Conclusion As described throughout the paper, many technologies exist to detect driver fatigue. This paper tries to look at the emerging technologies and determine the best approaches in trying to prevent the number one cause of fatal vehicle crashes. In the coming months the methods and recommendation for future research will be analyzed. References Y. Lin, H. Leng, G. Yang, and H. Cai, intelligent noninvasive sensor for driver pulse wave “An measurement,” IEEE Sensors J., vol. 7, no. 5, pp. 790–799, May 2007. X. Yu, Nonintrusive Detection of Driver Drowsiness”, May 2009 “Real-time US Department of Transportation, Evaluation of Emerging Driver Fatigue Detection “An Measures and Technologies”, June 2009 Y. Jie, Y. DaQuan, W. WeiNa, X. XiaoXia, and W. Hui, Detecting System “Real-Time of the Driver’s Fatigue”, 2006 Exmovere Holdings Inc, New Biotechnological Frontier: The Empath Watch”. Feb. 2011 “The S. Kar, M. Bhagat, and A. Routray, signal analysis for the assessment and quantification of “EEG driver’s fatigue”, June 2010 Retrieved February 9th 2011, from The 6 Most Common Causes of Automobile Crashes(2010). J.J Huggins (February 21st, 2011), Two people critical after crash, The Lawrence Eagle Tribune, p A1. What causes Fatigue (2010), Retrieved February 21st 2011, from Kingman P. Strohl, M.D, Blatt, Ph.D, Forrest Council, Ph.D, Kate Georges, James Kiley, Ph.D, Roger Kurrus, Anne T. McCartt, Ph.D, Sharon L. Merritt, Ed.D., R.N, Allan I. Pack, Ph.D., M.D, Susan Rogus, R.N., M.S., Thomas Roth, Ph.D, Jane Stutts, Ph.D, Pat Waller, Ph.D., David Willis, Driving and Automobile Crashes” (2010), Retrieved February 21st 2011, from “Drowsy
Apply brake to slow down and turn on the emergency flashers Enforce a break period using preset starter-kill circuit Dispatch for help if no response or improvement over a period of time Conclusion As described throughout the paper, many technologies exist to detect driver fatigue. This paper tries to look at the emerging technologies and determine the best approaches in trying to prevent the number one cause of fatal vehicle crashes. In the coming months the methods and recommendation for future research will be analyzed. References Y. Lin, H. Leng, G. Yang, and H. Cai, “An intelligent noninvasive sensor for driver pulse wave measurement,” IEEE Sensors J., vol. 7, no. 5, pp. 790–799, May 2007. X. Yu, “Real-time Nonintrusive Detection of Driver Drowsiness”, May 2009 US Department of Transportation, “An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies”, June 2009 Y. Jie, Y. DaQuan, W. WeiNa, X. XiaoXia, and W. Hui, “Real-Time Detecting System of the Driver’s Fatigue”, 2006 Exmovere Holdings Inc, “The New Biotechnological Frontier: The Empath Watch”. Feb. 2011 S. Kar, M. Bhagat, and A. Routray, “EEG signal analysis for the assessment and quantification of driver’s fatigue”, June 2010 The 6 Most Common Causes of Automobile Crashes(2010). Retrieved February 9th 2011, from J.J Huggins (February 21st, 2011), Two people critical after crash, The Lawrence Eagle Tribune, p A1. What causes Fatigue (2010), Retrieved February 21st 2011, from Kingman P. Strohl, M.D, Blatt, Ph.D, Forrest Council, Ph.D, Kate Georges, James Kiley, Ph.D, Roger Kurrus, Anne T. McCartt, Ph.D, Sharon L. Merritt, Ed.D., R.N, Allan I. Pack, Ph.D., M.D, Susan Rogus, R.N., M.S., Thomas Roth, Ph.D, Jane Stutts, Ph.D, Pat Waller, Ph.D., David Willis, “Drowsy Driving and Automobile Crashes” (2010), Retrieved February 21st 2011, from
Integrated%20Sensor%20Technologies%20Preventing%20Accidents%20Due%20to%20Driver%20Fatigue-Corrections%20rev%20A%20report1.docx