Abstract: This paper presents a facial emotion recognition The main aim of this is Human facial expressions are an important medium for communication and a signal for emotions like happiness, sadness, anger, and surprise. The objective of this project is to develop a Facial Emotion Recognition (FER) system that can detect a person’s emotions and create a matching bitmoji correlated with the detected expression.
The way the system works is that, from a camera placed in front of the user, it will capture the face and the expression of the user through deep learning. When the system will recognize the emotion, it will create a bitmoji representing that detected feeling. This makes online communication more fun and interesting.
This technology, thus, can be implicated into social media, gaming, virtual meetings, customer service, and even mental health applications. This technology increases personalization and thus improves human-computer interaction. Future improvements of this system can include more emotions, improved accuracy, and merging along with augmented reality (AR) for an engaging experience.
Keywords: Deep Learning, Computer vision, CNN, Emotion based avatar
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DOI:
10.17148/IJARCCE.2025.14231
