Abstract
In simple cases, affective computing is a computational device recognizing and acting upon the emotions of its user or having (or simulating having) emotions of its own in complex cases. Multimodal technology is currently one of the hottest focuses in affective computing research. However, the lack of a large-scale multimodal database limits the research to some respective and scattered fields, such as affective recognition by video or by audio. This paper describes the development and implementation of an XML-based multimodal affective annotation system which is called MAAS (Multimodal Affective Annotation System). MAAS contains a hierarchical affective annotation model based on the 3-dimensional affect space derived from Mehrabian’s PAD temperament scale. The final annotation file is formed in XML format in order to interchange the resources with other research groups conveniently.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Leverson, R.W.: The Nature of Emotions, pp. 123–126. OxfordUniversity Press, New York (1994)
Ekman, P.: An argument for basic emotions. Cognition and Emotion 6, 169–200 (1992)
Huang, Y., Luo, J.: Experimental Research based on IAPS in China. Psychology and Sanitation Journal of China 18, 631–634 (2004)
Broekens, J., DeGroot, D.: Scalable and Flexible Appraisal Models for Virtual Agents. In: CGAIDE (2004)
Mehrabian, A.: Basic Dimensions for a General Psychological Theory. OGH Publishers, Cambridge (1980)
Li, X., Zhou, H., Song, S., Ran, T., Fu, X.: The reliability and validity of the Chinese version of abbreviated PAD emotion scales. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 513–518. Springer, Heidelberg (2005)
Zhao, J., Fu, X.: An Evaluation-based Hybrid Annotation Scheme for Emotion Using Multimodal Data in Task-oriented Conditions. Submitted to ACM CHI 2006 (2006)
Picard, R.W.: Affective Computing. MIT Press, London (1997)
Chang, E.C., Sanna, L.J.: Optimism, Pessimism, and Positive and Negative Affectivity in Middle-Aged Adults: A Test of a Cognitive-Affective Model of Psychological Adjustment. Psychology and Aging 16, 524–531 (2001)
Hollinger, G.A., Pezzementi, Z.A., Mitchell, B., Flurie, A., Maxwell, B.A.: Design of a Social Mobile Robot Using Emotion-Based Decision Mechanisms, http://www.engin.swarthmore.edu/~ghollin1/e28/lab5/SocialRobot.pdf
Pagel, M.: The Evolution of Human Emotions. The Oxford Encyclopedia of Evolution 1, 296–299 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xia, F., Wang, H., Fu, X., Zhao, J. (2005). An XML-Based Implementation of Multimodal Affective Annotation. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_69
Download citation
DOI: https://doi.org/10.1007/11573548_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29621-8
Online ISBN: 978-3-540-32273-3
eBook Packages: Computer ScienceComputer Science (R0)