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Issue No.04 - October-December (2011 vol.10)
pp: 84-95
Maria E. Jabon , Stanford University
Jeremy N. Bailenson , Stanford University
Emmanuel Pontikakis , Stanford University
Leila Takayama , Stanford University
Clifford Nass , Stanford University
ABSTRACT
<p>A system for tracking driver facial features aims to enhance the predictive accuracy of driver-assistance systems. The authors identify key facial features at varying pre-accident intervals and use them to predict minor and major accidents.</p>
INDEX TERMS
computer vision, face and gesture recognition, real-time systems, pervasive computing, human safety
CITATION
Maria E. Jabon, Jeremy N. Bailenson, Emmanuel Pontikakis, Leila Takayama, Clifford Nass, "Facial Expression Analysis for Predicting Unsafe Driving Behavior", IEEE Pervasive Computing, vol.10, no. 4, pp. 84-95, October-December 2011, doi:10.1109/MPRV.2010.46
REFERENCES
1. U.S. Dept. of Transportation, "Traffic Safety Facts 2006: A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System," tech. report DOTHS 810 818, Nat'l Highway Traffic Safety Administration, 2006.
2. M. Satyanarayanan, "Pervasive Computing: Vision and Challenges," IEEE Personal Comm., vol, 8, no. 4, 2001, pp. 10–17.
3. Z. Zu, Q. Ji, and P. Lan, "Real-Time Nonintrusive Driver Fatigue Monitoring," IEEE Trans. Vehicle Technology, vol. 53, no. 4, 2004, pp. 1052–1068.
4. J.A. Healy and R.W. Picard, "Detecting Stress During Real-World Driving Tasks Using Physiological Sensors," IEEE Trans. Intelligent Transportation Systems, vol. 6, no. 2, 2005, pp. 156–166.
5. R.W. Allen et al., "A Low Cost PC Based Driving Simulator for Prototyping and Hardware-in-the-Loop Applications," Proc. SAE Int'l Congress & Exposition, SAE Int'l, 1998, paper no. 98-0222.
6. H. Neven Neven Vision [computer software], Neven Vision, Inc., 2003.
7. J. Friedman, T. Hastie, and R. Tibshirani, "Additive Logistic Regression: A Statistical View of Boosting," Annals of Statistics, vol. 28, no. 2, 2000, pp. 337–407.
8. A. Ben-David, "What's Wrong with Hit Ratio?," IEEE Intelligent Systems, vol. 21, no. 6, 2006, pp. 68–70.
9. J. Landis and G. Koch, "The Measurement of Observer Agreement for Categorical Data," Biometrics, vol. 33, no. 1, 1977, pp. 159–174.
10. H.I. Witten and E. Fank, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 2005.
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