For effective interaction with computers as human being, need to recognize and understand human emotions through the analyzing of the human ‘effective state, physiology and behavior. This paper is designed to focus on different types of emotion recognition study based on face and hand gesture. Human Computer Interaction (HCI) systems is designed for the machine to behave as normal as human beings. So, for the same objective, need to develop algorithm, technology which can used to track, detect, understand facula movements, hand gesture, position of hand surrounding the face to ensure about the human emotions in an effective way. Here we will try to design a basic framework for a vision-based multimodal analyzer. This analyzer is used to combines the feature of face and hand gesture to get better results than the existing ones.
CITATION STYLE
Goyal, S. J., Upadhyay, A. K., & Jadon, R. S. (2019). Facial emotion recognition through hand gesture and its position surrounding the face. International Journal of Engineering and Advanced Technology, 8(3), 441–444.
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