5Novel Hybrid Optimal Deep Network and Optimization Approach for Human Face Emotion Recognition
J. Seetha1, M. Ayyadurai2⋆ and M. Mary Victoria Florence3
1Department of Computer Science and Business Systems, Panimalar Engineering College, Chennai, India
2Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai, India
3 Department of Mathematics, Panimalar Engineering College, Chennai, India
Abstract
Emotion is significant in deciding a human’s ideas, behavior, and feelings. Using the advantages of deep learning, an emotion detection system can be constructed and various applications such as face unlocking, feedback analysis, and so on are executed with high accuracy. Artificial intelligence’s fast development has made a significant contribution to the technological world. However, it has several difficulties in achieving optimal recognition. Interpersonal differences, the intricacy of facial emotions, posture, and lighting, among other factors, provide significant obstacles. To resolve these issues, a novel Hybrid Deep Convolutional based Golden Eagle Network (HDC-GEN) model algorithm is proposed for the effective recognition of human emotions. The main goal of this research is to create hybrid optimal strategies that classify five diverse human facial reactions. The feature extraction of this research is carried out using Heap Coupled Bat Optimization (HBO) method. The execution of this research is performed by MATLAB software. The simulation outcomes ...
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