Publication Type : Journal Article
Publisher : International Journal of Pure and Applied Mathematics,
Source : International Journal of Pure and Applied Mathematics, Volume 114, Number 11, p.71-81 (2017)
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Computer Science and Engineering
Abstract : Emotion detection is a process of identifying the mental state of a person. Emotion detection is used by top companies so that they can provide more relevant suggestions. Emotions detection has a wide range of applications like auto tagging in social networks, understanding the patient’s mood by a doctor and human machine interactions. In this paper we analyze two major techniques used for emotion detection namely, Multilevel HMM and Deep learning technique Convolutional Neural Network
Cite this Research Publication : Sini Raj P., R. Raj, A., and Haresh, V., “Comparitive Study of Emotion Detection Using Multevel HMM and Convolution Neural Networks from Real Time Videos”, International Journal of Pure and Applied Mathematics, vol. 114, pp. 71-81, 2017.