Facial Emotion Recognition Through Hand Gesture and Its Position Surrounding The Face
Samta Jain Goyal1, Arvind Kumar Upadhyay2, Rakesh Singh Jadon3

1Samta Jain Goyal, Department of Computer Science & Engineering, Amity University, Gwalior (Madhya Pradesh), India.
2Arvind Kumar Upadhyay, Department of Computer Science & Engineering, Amity University, Gwalior (Madhya Pradesh), India.
3Rakesh Singh Jadon, Department of Computer Applications, Madhav Institute of Technology and Science, Gwalior (Madhya Pradesh), India.

Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 441-444 | Volume-8 Issue-3, February 2019 | Retrieval Number: C5930028319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Facial Emotion Recognition, Hand Gesture Recognition, Human Computer Interaction, Multimodal Interface,

Scope of the Article: Pattern Recognition