1. Bartlett, M.S., Littlewort, G.C., Frank, M.G., Lainscsek, C., Fasel, I., Movellan, J.R.: Automatic recognition of facial actions in spontaneous expressions. Journal of Multimedia 1(6), 22–35 (2006)

   Article  Google Scholar 

2. Cobb, W.: Recommendations for the practice of clinical neurophysiology. Elsevier, Amsterdam (1983)

   Google Scholar 

3. Cohn, J.F., Schmidt, K.L.: The timing of facial motion in posed and spontaneous smiles. J. Wavelets, Multi-resolution & Information Processing 2(2), 121–132 (2004)

   Article  Google Scholar 

4. Craig, K.D., Hyde, S., Patrick, C.J.: Genuine, supressed, and faked facial behaviour during exacerbation of chronic low back pain. Pain 46, 161–172 (1991)

   Article  Google Scholar 

5. Craig, K.D., Patrick, C.J.: Facial expression during induced pain. J Pers Soc Psychol. 48(4), 1080–1091 (1985)

   Article  Google Scholar 

6. Donato, G., Bartlett, M.S., Hager, J.C., Ekman, P., Sejnowski, T.J.: Classifying facial actions. IEEE Trans. Pattern Analysis and Machine Intelligence 21(10), 974–989 (1999)

   Article  Google Scholar 

7. DOT, Saving lives through advanced vehicle safety technology. USA Department of Transportation. (2001),http://www.its.dot.gov/ivi/docs/AR2001.pdf

8. Ekman, P., Friesen, W.: Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto (1978)

   Google Scholar 

9. Ekman, P.: Telling Lies: Clues to Deceit in the Marketplace, Politics, and Marriage. W.W. Norton, New York (2001)

   Google Scholar 

10. Ekman, P., Rosenberg, E.L. (eds.): What the face reveals: Basic and applied studies of spontaneous expression using the FACS. Oxford University Press, Oxford (2005)

    Google Scholar 

11. Fasel, I., Fortenberry, B., Movellan, J.R.: A generative framework for real-time object detection and classification. Computer Vision and Image Understanding 98 (2005)

    Google Scholar 

12. Fishbain, D.A., Cutler, R., Rosomoff, H.L., Rosomoff, R.S.: Chronic pain disability exaggeration/malingering and submaximal effort research. Clin J Pain 15(4), 244–274 (1999)

    Article  Google Scholar 

13. Fishbain, D.A., Cutler, R., Rosomoff, H.L., Rosomoff, R.S.: Accuracy of deception judgments. Pers Soc Psychol Rev. 10(3), 214–234 (2006)

    Article  Google Scholar 

14. Frank, M.G., Ekman, P., Friesen, W.V.: Behavioral markers and recognizability of the smile of enjoyment. J Pers Soc Psychol. 64(1), 83–93 (1993)

    Article  Google Scholar 

15. Grossman, S., Shielder, V., Swedeen, K., Mucenski, J.: Correlation of patient and caregiver ratings of cancer pain. Journal of Pain and Symptom Management 6(2), 53–57 (1991)

    Article  Google Scholar 

16. Gu, H., Ji, Q.: An automated face reader for fatigue detection. In: FGR, pp. 111–116 (2004)

    Google Scholar 

17. Gu, H., Zhang, Y., Ji, Q.: Task oriented facial behavior recognition with selective sensing. Comput. Vis. Image Underst. 100(3), 385–415 (2005)

    Article  Google Scholar 

18. Hadjistavropoulos, H.D., Craig, K.D., Hadjistavropoulos, T., Poole, G.D.: Subjective judgments of deception in pain expression: accuracy and errors. Pain 65(2-3), 251–258 (1996)

    Article  Google Scholar 

19. Hill, M.L., Craig, K.D.: Detecting deception in pain expressions: the structure of genuine and deceptive facial displays. Pain 98(1-2), 135–144 (2002)

    Article  Google Scholar 

20. Hong, C.K.: Electroencephalographic study of drowsiness in simulated driving with sleep deprivation. International Journal of Industrial Ergonomics 35(4), 307–320 (2005)

    Article MathSciNet  Google Scholar 

21. Igarashi, K., Takeda, K., Itakura, F., Abut, H.: DSP for In-Vehicle and Mobile Systems. Springer, US (2005)

    Google Scholar 

22. Kanade, T., Cohn, J.F., Tian, Y.: Comprehensive database for facial expression analysis. In: Proceedings of the fourth IEEE International conference on automatic face and gesture recognition (FG 2000), Grenoble, France, pp. 46–53 (2000)

    Google Scholar 

23. Larochette, A.C., Chambers, C.T., Craig, K.D.: Genuine, suppressed and faked facial expressions of pain in children. Pain 126(1-3), 64–71 (2006)

    Article  Google Scholar 

24. Littlewort, G., Bartlett, M.S., Fasel, I., Susskind, J., Movellan, J.: Dynamics of facial expression extracted automatically from video. J. Image & Vision Computing 24(6), 615–625 (2006)

    Article  Google Scholar 

25. Morecraft, R.J., Louie, J.L., Herrick, J.L., Stilwell-Morecraft, K.S.: Cortical innervation of the facial nucleus in the non-human primate: a new interpretation of the effects of stroke and related subtotal brain trauma on the muscles of facial expression. Brain 124(Pt 1), 176–208 (2001)

    Article  Google Scholar 

26. Orden, K.F.V., Jung, T.P., Makeig, S.: Combined eye activity measures accurately estimate changes in sustained visual task performance. Biological Psychology 52(3), 221–240 (2000)

    Article  Google Scholar 

27. Pantic, M., Pentland, A., Nijholt, A., Huang, T.: Human Computing and machine understanding of human behaviour: A Survey. In: Proc. ACM Int’l Conf. Multimodal Interfaces, pp. 239–248 (2006)

    Google Scholar 

28. Pantic, M.F.V., Rademaker, R., Maat, L.: Web- based Database for Facial Expression Analysis. In: Proc. IEEE Int’l Conf. Multmedia and Expo (ICME 2005), Amsterdam, The Netherlands (July 2005)

    Google Scholar 

29. Prkachin, K.M.: The consistency of facial expressions of pain: a comparison across modalities. Pain 51(3), 297–306 (1992)

    Article  Google Scholar 

30. Prkachin, K.M., Schultz, I., Berkowitz, J., Hughes, E., Hunt, D.: Assessing pain behaviour of low-back pain patients in real time: concurrent validity and examiner sensitivity. Behav Res Ther. 40(5), 595–607

    Google Scholar 

31. Rinn, W.E.: The neuropsyhology of facial expression: a review of the neurological and psychological mechanisms for producing facial expression. Psychol Bull 95, 52–77

    Google Scholar 

32. Schmand, B., Lindeboom, J., Schagen, S., Heijt, R., Koene, T., Hamburger, H.L.: Cognitive complaints in patients after whiplash injury: the impact of malingering. J Neurol Neurosurg Psychiatry 64(3), 339–343

    Google Scholar 

33. Schmidt, K.L., Cohn, J.F., Tian, Y.: Signal characteristics of spontaneous facial expressions: automatic movement in solitary and social smiles. Biol Psychol. 65(1), 49–66 (2003)

    Article  Google Scholar 

34. Schneiderman, H., Kanade, T.: Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 45–51 (1998)

    Google Scholar 

35. Takei, Y., Furukawa, Y.: Estimate of driver’s fatigue through steering motion. In: Man and Cybernetics, 2005 IEEE International Conference, vol. 2, pp. 1765–1770 (2005)

    Google Scholar 

36. Viola, P., Jones, M.: Robust real-time face detection. J. Computer Vision 57(2), 137–154 (2004)

    Article  Google Scholar 

37. Vural, E., Ercil, A., Littlewort, G.C., Bartlett, M.S., Movellan, J.R.: Machine learning systems for detecting driver drowsiness. In: Proceedings of the Biennial Conference on Digital Signal Processing for in-Vehicle and Mobile Systems (2007)

    Google Scholar 

38. Zhang, Z., Shu Zhang, J.: Driver fatigue detection based intelligent vehicle control. In: Proceedings of the 18th International Conference on Pattern Recognition, Washington, DC, USA, pp. 1262–1265. IEEE Computer Society, Los Alamitos (2006)

    Google Scholar 

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