Abstract: Facial Expression Recognition (FER) is a task that recognizes the expression or emotion of a person based on their face, enabling computers to identify the mood and emotions of individuals.
In this paper, we propose an additional layer of security to the authentication system of a VoIP network through the integration of facial emotion detection technology. The proposed system exploits ...
The artificial intelligence (AI) landscape has evolved at an unfathomable rate over the last couple of years, with the sector projected to reach a valuation of $5.26 trillion by 2035. Amidst this ...
first of all, great work with your research. I have a question regarding the input dataset you used to train the model. I tried loading the fer2013.h5 file that I have after preprocessing the original ...
FER is pivotal in human-computer interaction, sentiment analysis, affective computing, and virtual reality. It helps machines understand and respond to human emotions. Methodologies have advanced from ...
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Abstract: Human emotions present a major challenge for artificial intelligence. Automated emotion recognition based on facial expressions is important to robotics, medicine, psychology, education, ...
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