Facial Emotion Recognition Using Deep Neural Network

Mr. Janardhan Reddy D; Giribabu Sadineni; P.D.S.Sushira; Ch.Sai Lohitha; P.V.B.Rushitha; T.N.Lakshmi; V.Praveena

doi:10.55524/ijirem.2023.10.2.20

Abstract

The major part in the process of humanization of systems is the capability of distinguishing the emotions of the person. In this research paper we represent the composition of an instinctive system that is capable of detecting the emotion by using their facial expressions. Three techniques of neural network are tailored, educated and subordinated to different jobs, after this the performance of the network was improved. A live videotape operation that can currently simulate the person’s emotion depicts how well the model connects to the world. Since the invention of computers many technologists and masterminds are introducing instinctively intelligent systems that are very helpful to humans mentally and physically. In the previous decades the usage of computer has increased rapidly which helps in developing fast literacy systems, where internet has provided vast quantum of data for teaching the machine. These two enlargements elevated the exploration on intelligent learning systems by using neural networks in favorable ways. The facial emotion detection machine needs to be trained to get the system ready. The installation of OpenCV(Open Source Computer Vision) is essential for this machine. OpenCV is a library that is required for computer vision.

Keywords

Humanization of Robotics, Instinctively Intelligent System,Live Video tape operation,Smart tone- Learning systems, Open CV(Open Source Computer Vision).

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Cites this article as

M. J. R. D, G. Sadineni, P.D.S.Sushira, C. Lohitha, P.V.B.Rushitha, T.N.Lakshmi, V.Praveena, "Facial Emotion Recognition Using Deep Neural Network", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-10, Issue-2, Page No-108-110, 2023. Available from: https://doi.org/10.55524/ijirem.2023.10.2.20