• Utkarsha Vyas
• Sandhya Sharma

Emotion is currently recognized as a essential part of human being behaviour, associated therefore it ought to be surrounded among the analysis method once an intellectual agent or a golem intends to imitate human being reaction. In this paper, we explore the use of Artificial Neural Network and machine learning. Facial Expression Recognition System is developed to analyze four type of human expressions- happy, sad, angry and surprised., this paper presents a behaviour decision model of intelligent agent, the model consists of emotions, motivations and behaviour call. The mapping relationship between exterior stimulates and feeling is made by D-S evidence theory. and therefore, the model applies the Andre Mark off decision process to work out feeling states to behaviours. The model presents a legitimate methodology to the emotional agent modelling and effective call organization.

Behaviour Decision representation, emotion recognition; Markov Decision Process, ANN, MATLAB, Support VectorMachines (SVM)

"“A Review technique for Emotion Recognition using neural network algorithm”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.109-112, June 2019, Available :http://www.jetir.org/papers/JETIR1906U50.pdf

"“A Review technique for Emotion Recognition using neural network algorithm”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp109-112, June 2019, Available at : http://www.jetir.org/papers/JETIR1906U50.pdf