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- W4328007002 abstract "A lot of research has been done over the last few years in the field of facial Emotion recognition (FER) and it is currently a hot topic in both academia and industry. A good way to perceive a user's thoughts and design a good to detect universal facial expressions system. The option to separate different universal facial expressions based on emotional classes makes it feasible to recognize distinct emotions of facial expressions based on the diversity among facial calculations and expressions. Face recognition technology is used extensively today, often in the medical industry, the attendance system, and so on. This work focuses on developing a Facial Expression Recognition (FER) system using CNN. This the model uses Haar cascade classifier for real-time universal facial expressions using a webcam. It was trained using the [FER2013] dataset available on Kaggle to detect facial expressions." @default.
- W4328007002 created "2023-03-22" @default.
- W4328007002 creator A5005449207 @default.
- W4328007002 date "2023-01-24" @default.
- W4328007002 modified "2023-10-01" @default.
- W4328007002 title "A Deep Learning Approach To Recognizing Emotions Through Facial Expressions" @default.
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- W4328007002 doi "https://doi.org/10.1109/gcwot57803.2023.10064654" @default.
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