Facial Emotion Recognition using Convolutional Neural Network with Multiclass Classification and Bayesian Optimization for Hyper Parameter Tuning.

University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

Author: Lokesh Bejjagam; Reshmi Chakradhara; [2022]

Keywords: Computing Methodologies; Machine Learning; Machine Learning Approaches; Convolutional Neural Network; Facial Emotion Recognition.;

Abstract: The thesis aims to develop a deep learning model for facial emotion recognition using Convolutional Neural Network algorithm and Multiclass Classification along with Hyper-parameter tuning using Bayesian Optimization to improve the performance of the model. The developed model recognizes seven basic emotions in images of human beings such as fear, happy, surprise, sad, neutral, disgust and angry using FER-2013 dataset.

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