Aleksic, P. S., & Katsaggelos, A. K. (2006). Automatic facial expression recognition using facial animation parameters and multistream HMMs. IEEE Transaction Information Forensics and Security,
Anderson, K., & McOwen, P. W. (2006). A real-time automated system for recognition of human facial expressions. IEEE Transaction Systems Man and Cybernetics Part B,
Bachorowski, J. A. (1999). Vocal expression and perception of emotion. Current Directions in Psychological Science,
Baron-Cohen, S., Riviere, A., Fukushima, M., French, D., Hadwin, J., Cross, P., et al. (1996). Reading the mind in the face: A cross-cultural and developmental study. Visual Cognition,
Bartlett, M. S., Littlewort, G., Fasel, I., & Movellan, R. (2003). Real time face detection and facial expression recognition: Development and application to human computer interaction. Proceedings of CVPR Workshop on Computer Vision and Pattern Recognition for Human-Computer Interaction. Retrieved from http://mplab.ucsd.edu/~marni/pubs/Bartlett_CVPR_2003.pdf.
Bhushan, B. (2006). A half gateway to the whole: Evidence from face study. Gestalt Theory,
Bhushan, B. (2007). Subjective analysis of facial expressions: Inputs from behavioural research for automated systems. Unpublished project report INI-IITK-20060049, Indian Institute of Technology, Kanpur.
Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review,
Bourel, F., Chibelushi, C. C. & Low, A. A. (2001). Recognition of facial expressions in the presence of occlusion. Proceedings of the Twelfth British Machine Vision Conference, 1, 213–222.
Bradley, M. M., & Lang, P. J. (2000). Measuring emotion: Behavior, feeling, and physiology. In R. D. Lane & L. Nadel (Eds.), Cognitive neuroscience of emotion (pp. 242–276). New York: Oxford University Press.
Bucy, E. P. (2000). Emotional and evaluative consequences of inappropriate leader displays. Communication Research,
Bucy, E. P., & Bradley, S. D. (2004). Presidential expressions and viewer emotion: Counterempathic responses to televised leader displays. Social Sciences Information,
Bullock, M., & Russell, J. (1984). Preschool children’s interpretation of facial expressions of emotion. International Journal of Behavioural Development,
Bullock, M., & Russell, J. (1986). Concepts of emotion in developmental psychology. In C. Izard & P. Read (Eds.), Measuring emotions in infants and children (Vol. 2, pp. 203–237). Cambridge University Press: Cambridge.
Cohn, J. F., Ambadar, Z., & Ekman, P. (2007). Observer-based measurement of facial expression with the Facial Action Coding System. In J. A. Coan & J. B. Allen (Eds.), The handbook of emotion elicitation and assessment, Series in Affective Science. Oxford University Press (pp. 203–221). New York: Oxford.
Darwin, C. (1872). The expression of emotion in man and animals. New York: Oxford University Press.
De la Torre, F., Yacoob, Y., & Davis, L. (2000). A probabilistic framework for rigid and non-rigid appearance based tracking and recognition. International conference on automatic face and gesture recognition, pp. 491–498.
Ekman, P. (1973). Cross-cultural studies of facial expression. In P. Ekman (Ed.), Darwin and facial expression: A century of research in review (pp. 169–222). New York: Academic Press.
Ekman, P. (1992a). An argument for basic emotions. Cognition and Emotion,
Ekman, P. (1992b). Facial expressions of emotions: an old controversy and new findings. Philosophical Transactions of the Royal Society, B335, 63–69
Ekman, P. (1999). Basic emotions. In T. Dalgleish & M. J. Power (Eds.), Handbook of cognition and emotion (pp. 45–60). New York: Wiley.
Ekman, P. (2001). Telling lies: Clues to deceit in the marketplace, politics and marriage (3rd ed.). New York: W. W. Norton and Company.
Ekman, P. (2003). Emotions revealed (2nd ed.). New York: Times Books.
Ekman, P. (2009). Lie catching and microexpressions: The Philosophy of Deception. Oxford: Oxford University Press.
Ekman, P., & Friesen, W. V. (1974). Nonverbal behavior and psychopathology. In R. J. Friedman & M. Katz (Eds.), The psychology of depression: contemporary theory and research (pp. 3–31). Washington, D. C: Winston and Sons.
Ekman, P., & Friesen, W. V. (1975). Unmasking the face: A guide to recognizing emotions from facial clues. Englewood Cliffs: Prentice-Hall.
Ekman, P., & Friesen, W. V. (1978). Manual for the facial action coding system. San Francisco: Consulting Psychologists Press.
Ekman, P., & Friesen, W. V. (2003). Unmasking the face. Cambridge, MA: Malor Books.
Ekman, P., Friesen, W. V., O’Sullivan, M., Chan, A., Diacoyanni-Tarlatzis, I., Heider, K., et al. (1987). Universals and cultural differences in the judgments of facial expressions of emotion. Journal of Personality and Social Psychology,
Endres, J., & Laidlaw, A. (2009). Micro-expression recognition training in medical students: A pilot study. BMC Medical Education,
Essa, I., & Pentland, A. (1995). Facial expression recognition using a dynamic model and motion energy. Proceedings of 5th International conference on computer vision, pp. 360–367.
Esteves, F., & Ohman, A. (1993). Masking the face: Recognition of emotional facial expressions as a function of the parameters of backward masking. Scandinavian Journal of Psychology,
Farah, M. J., Wilson, K. D., Drain, M., & Tanaka, J. N. (1998). What is ‘special’ about facial perception? Psychological Review,
Fasel, B., & Luttin, J. (2003). Automatic facial expression analysis: A survey. Pattern Recognition,
Frank, M. G., Herbasz, M., Sinuk, K., Keller, A., & Nolan, C. (2009). I see how you feel: Training laypeople and professionals to recognize fleeting emotions. International Communication Association, Sheraton New York City. Retrieved from http://www.allacademic.com/meta/p15018_index.html.
Gray, J. A. (1994). Three fundamental emotion systems. In P. Ekman & R. J. Davidson (Eds.), The nature of emotion: Fundamental questions (pp. 243–247). New York: Oxford University Press.
Gusnard, D. A., & Raichle, M. E. (2001). Searching for a baseline: Functional imaging and the resting human brain. Nature Reviews Neuroscience, 2, 685−694.
Gray, J. A. (1994). Three fundamental emotion systems. In P. Ekman & R. J. Davidson (Eds.): The nature of emotion: Fundamental questions (pp. 243-247). New York: Oxford University Press.
Haggard, E. A., & Isaacs, K. S. (1966). Micro-momentary facial expressions as indicators of ego mechanisms in psychotherapy. In L. A. Gottschalk & A. H. Auerbach (Eds.), Methods of research in psychotherapy (pp. 154–165). New York: Appleton-Century-Crofts.
Haidt, J., & Keltner, D. (1999). Culture and facial expression: Open-ended methods find more expressions and a gradient of recognition. Cognition and Emotion,
Hu, C., Chang, Y., Feris, R. & Turk, M. (2004). Manifold based analysis of facial expression. Proceedings of IEEE Workshop on Face Processing in Video, Washington, DC.
Izard, C. E. (1971). The face of emotion. New York: Meridith Corporation.
Izard, C. E. (1991). The psychology of emotions. New York: Plenum Press.
Kaiser, S., & Wehrle, T. (2001). Facial expressions as indicators of appraisal processes. In K. R. Scherer, A. Schorr, & T. Johnstone (Eds.), Appraisal processes in emotions: Theories, methods, research (pp. 285–300). New York: Oxford University Press.
Kanade, T., Cohn, J., & Tian, Y. (2000). Comprehensive database for facial expression analysis. Proceedings of the IEEE International Conference: Face and Gesture Recognition (AFGR '00), 46–53.
Keil, A., Moratti, S., Sabatinelli, D., Bradley, M. M., & Lang, P. J. (2005). Additive effects of emotional content and spatial selective attention on electrocortical facilitation. Cerebral Cortex,
Kilts, C. D., Egan, G., Gideon, D. A., Ely, T. D., & Hoffman, J. M. (2003). Dissociable neural pathways are involved in the recognition of emotion in static and dynamic facial expressions. Neuroimage,
Kinsbourne, M., & Bemporad, B. (1984). Lateralization of emotion: A model and the evidence. In N. Fox & R. Davidson (Eds.), The psychobiology of affective development (pp. 259–291). Hillsdale, NJ: Erlbaum.
Kotsia, I., Buciu, I., & Pitas, I. (2008). An analysis of facial expression recognition under partial facial image occlusion. Image and Vision Computing,
Kotsia, I., & Pitas, I. (2007). Facial expression recognition in image sequences using geometric deformation features and support vector machines. IEEE Transaction Image Processing,
Lang, P. J. (1995). The emotion probe: Studies of motivation and attention. American Psychologist,
Larsen, J. T., McGraw, A. P., & Cacioppo, J. T. (2001). Can people feel happy and sad at the same time? Journal of Personality and Social Psychology,
Larsen, J. T., Norris, C. J., & Cacioppo, J. T. (2003). Effects of positive and negative affect on electromyographic activity over zygomaticus major and corrugator supercilii. Psychophysiology,
Lazarus, R. S. (1991). Emotion and adaptation. Oxford, UK: Oxford University Press.
Lee, C., & Elgammal, A. (2005). Facial expression analysis using nonlinear decomposable generative models. IEEE International Workshop on Analysis and Modeling of Faces and Gestures, pp. 17–31.
Little, A. C., Burriss, R. P., Jones, B. C., & Roberts, S. C. (2007). Facial appearance affects voting decisions. Evolution and Human Behavior,
Manohar, V., Shreve, M., Goldgof, D., & Sarkar, S. (2008). Finite element modeling of facial deformation in videos for computing strain pattern. 19th International Conference on Pattern Recognition, pp. 1–4.
Manohar, V., Zhang, Y., Goldgof, D., & Sarkar, S. (2007). Facial strain pattern as a soft forensic evidence. Proceedings of the
IEEE workshop on Applications of Computer Vision, p. 42.
Matsumoto, D., & Hwang, H. S. (2011). Judgment of profile views of universal facial expressions of emotion. Emotion,
Matsumoto, D., LeRoux, J. A., Wilson-Cohn, C., Raroque, J., Kooken, K., Ekman, P., et al. (2000). A new test to measure emotion recognition ability: Matsumoto and Ekman’s Japanese and Caucasian Brief Affect Recognition Test (JACBART). Journal of Nonverbal Behavior,
Michalson, L., & Lewis, M. (1985). What do children know about emotions and when do they know it? In M. Lewis & C. Saarni (Eds.), The socialization of emotions (pp. 117–140). London: Plenum Press.
Milders, M., Sahraie, A., & Logan, S. (2008). Minimum presentation time for masked facial expression discrimination. Cognition and Emotion,
Morris, D. (1977). Manwatching: A field guide to human behavior. New York: Abrams.
Pandzic, I. S., & Forchheimer, R. (2002). MPEG-4 facial animation: The standard, implementation and applications. New Jersey: Wiley.
Panksepp, J. (2007). Neurologizing the psychology of affects: How appraisal-based constructivism and basic emotion theory can coexist. Perspectives on Psychological Science,
Pantic, M., & Patras, I. (2004). Detecting facial actions and their temporal segments in nearly frontal-view face image sequences. Proceedings of IEEE conference on Systems, Man and Cybernetics,
Pardas, M., & Bonafonte, A. (2002). Facial animation parameters extraction and expression recognition using Hidden Markov Models. Signal Processing: Image Communication,
Parrott, W. G. (2000). Emotions in social psychology. Philadelphia: Psychology Press.
Pfister, T., Li, X., Zhao, G., & Pietikäinen, M. (2011). Recognizing spontaneous facial micro-expressions. Proceedings of IEEE International Conference on Computer Vision (ICCV), pp. 1449–1456.
Polikovsky, S., Kameda, Y., & Ohta, Y. (2009). Facial micro-expressions recognition using high speed camera and 3D-gradients descriptor. Conference on imaging for crime detection and prevention, 6.
Porter, S., & Brinke, L. (2008). Reading between the lies: Identifying concealed and falsified emotions in universal facial expressions. Psychological Science,
Pourtois, G., Grandjean, D., Sander, D., & Vuilleumier, P. (2004). Electrophysiological correlates of rapid spatial orienting towards fearful faces. Cerebral Cortex,
Raichle, M. E., & Gusnard, D. A. (2005). Intrinsic brain activity sets the stage for expression of motivated behavior. Journal of Comparative Neurology,
Reuter-Lorenz, P., & Davidson, R. J. (1981). Differential contributions of the two cerebral hemispheres for perception of happy and sad faces. Neuropsychologia,
Rinn, W. E. (1984). The neuropsychology of facial expression: A review of the neurological and psychological mechanisms for producing facial expressions. Psychological Bulletin,
Rothwell, J., Bandar, Z., O’shea, J., & Mclean, D. (2006). Silent talker: A new computer-based system for the analysis of facial cues to deception. Applied Cognitive Psychology,
Russell, J. A. (1980). A circumflex model of affect. Journal of Personality and Social Psychology,
Scherer, K. R. (1984). On the nature and function of emotion: A component process approach. In K. R. Scherer & P. Ekman (Eds.), Approaches to emotion (pp. 293–318). Hillsdale: Lawrence Erlbaum.
Sebe, N., Lew, M. S., Sun, Y., Cohen, I., Gevers, T., & Huang, T. S. (2007). Authentic facial expression analysis. Image and Vision Computing,
Shreve, M., Godavarthy, S., Manohar, V., Goldgof, D., & Sarkar, S. (2009). Towards macro- and micro-expressions\ spotting in video using strain patterns. Applications of Computer Vision (WACV), pp. 1–6.
Silberman, E. K., & Weingartner, H. (1986). Hemispheric lateralization of functions related to emotion. Brain and Cognition,
Smiley, P., & Huttenlocher, J. (1989). Young children’s acquisition of emotion concepts. In C. Saarni & P. Harris (Eds.), Children’s understanding of emotion (pp. 27–79). Cambridge: Cambridge University Press.
Smith, C. A., & Ellsworth, P. C. (1985). Patterns of cognitive appraisal in emotion. Journal of Personality and Social Psychology,
Stewart, P. A., Waller, B. M., & Schubert, J. N. (2009). Presidential speechmaking style: Emotional response to micro-expressions of facial affect. Motivation and Emotion,
Tellegen, A., Watson, D., & Clark, L. A. (1999). On the dimensional and hierarchical structure of affect. Psychological Science,
Todorov, A., Mandisodza, A. N., Goren, A., & Hall, C. C. (2005). Inferences of competence from faces predict election outcomes. Science,
Van Gelder, R. S., & Van Gelder, L. (1990). Facial expression and speech: Neuroanatomical considerations. International Journal of Psychology,
Wang, J., & Yin, L. (2007). Static topographic modeling for facial expression recognition and analysis. Computer Vision and Image Understanding,
Warren, G., Schertler, E., & Bull, P. (2009). Detecting deception from emotional and unemotional cues. Journal of Nonverbal Behavior,
Williams, L. M., Liddell, B. J., Rathjen, J., Brown, K. J., Gray, J., Phillips, M., et al. (2004). Mapping the time course of nonconscious and conscious perception of fear: An integration of central and peripheral measures. Human Brain Mapping,