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Comparison Of Facial Emotion Recognition Models Using Deep Learning, Arsany Hanin
Comparison Of Facial Emotion Recognition Models Using Deep Learning, Arsany Hanin
University of New Orleans Theses and Dissertations
Facial emotion recognition is a widely studied area with applications in diverse domains such as human-computer interaction, affective computing, and social robotics. This thesis aims to improve the accuracy of facial emotion recognition models by incorporating a second neural network trained on original probabilities and probability transformation, while also comparing the performance of different techniques. The thesis begins with a thorough review of available datasets and technologies used for data collection, highlighting the challenges associated with these datasets. A detailed analysis of various facial emotion detection models, including the baseline model and its different architectures, is presented. The thesis also …