Abstract
Quantitative models of whole body expressive movement can be developed by combining methods form biomechanics, psychology, and statistics. The purpose of this paper was to use motion capture data to assess emotion-related gait kinematics of hip and shoulder sagittal plane movement to evaluate the feasibility of using functional data analysis (FDA) for developing quantitative models. Overall, FDA was an effective method for comparing gait waveforms and emotion-related kinematics were associated with emotion arousal level.
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de Gelder, B.: Towards the neurobiology of emotional body language. Nature Reveiws Neuroscience 7, 242–249 (2006)
Pichon, S., de Gelder, B., Grezes, J.: Emotional modulaton of visual and motor areas by dynamic body expressions of anger. Social Neuroscience (2007)
Crane, E.A., Gross, M., Fredrickson, B.L.: Feasibility of Concurrent Assessment of Dynamic Bodily and Facial Expressions (submitted)
Montepare, J.M., Goldstein, S.B., Clausen, A.: The identification of emotions from gait information. Journal of Nonverbal Behavior 11, 33–42 (1987)
Labouvie-Vief, G., Lumley, M.A., Jain, E., Heinze, H.: Age and gender differences in cardiac reactivity and subjective emotion responses to emotional autobiographical memories. Emotion 3, 115–126 (2003)
Levenson, R.W.: Emotion elicitation with neurological patients. In: Coan, J.A., Allen, J.J.B. (eds.) Handbook of emotion elicitation and assessment, pp. 158–168. Oxford University Press, Oxford (2007)
Levenson, R.W., Carstensen, L.L., Friesen, W.V., Ekman, P.: Emotion, physiology, and expression in old age. Psychology and Aging 6, 28–35 (1991)
Crane, E., Gross, M.: Expressive Movement Style Associated with Felt and Recognized Emotions (in preparation)
Ramsay, J.O., Silverman, B.W.: SpringerLink: Functional data analysis. Springer, New York (2005)
Crane, E., Gross, M.: Motion Capture and Emotion: Affect Detection in Whole Body Movement. In: Affective Computing and Intelligent Interaction, pp. 95–101 (2007)
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Crane, E., Gross, M., Rothman, E. (2009). Methods for Quantifying Emotion-Related Gait Kinematics. In: Shumaker, R. (eds) Virtual and Mixed Reality. VMR 2009. Lecture Notes in Computer Science, vol 5622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02771-0_3
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DOI: https://doi.org/10.1007/978-3-642-02771-0_3
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