Abstract
This paper proposes to model the dynamic interaction of the complex emotions excited by audiovisual stimuli. The behavior of the user is modeled through Markov chain procedure, and the transition probabilities are calculated. A parameter variation study of the dynamical behavior is undertaken to examine the scope of chaos and stability, thus leading to the derivation of the extent of stability. The arch motive of the paper lies in the prediction of chaos and stability of emotional dynamics from the instantiation of emotion in facial expression stimulated by external audiovisual impetus. Such prediction may help in the early discovery of mental disorders.
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Acknowledgements
• Statement of Ethical Approval
B. S. Abdur Rahman Crescent Institute of Science and Technology; Bharath Institute of Science and Technology, Chennai, India; Kyungpook National University, South Korea, approved our study.
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All authors consent to publish this article, and there is no any conflict of interest.
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Arputha Rathina, X., Ponnavaikko, M., Mehata, K.M., Kavitha, M.S. (2019). Analysis of User’s Behavior Using Markov Model. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-13-1595-4_32
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DOI: https://doi.org/10.1007/978-981-13-1595-4_32
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