Emotion detection from facial expression using image processing

نویسندگان

چکیده

Abstract: Facial expression recognition is a powerful tool for communicating our emotions, understanding, and intent with each other. It an intelligent human-computer interaction technology. Various studies have been conducted to classify facial expressions. Six fundamental universal emotions can be expressed through expressions: happiness, sadness, anger, fearful, surprised, neutral. In this project, emotion detection implemented in real time the help of webcam. Our work proposed CNN-based VGG16 architecture systems. A model would trained by using FER-2013 dataset. Then images from dataset are first pre-processed, which includes operations such as image scaling, changing colour mode, so on. Following that, CNN multiple layers was created. After specified dataset, resulting .h5 file, pre-trained file. Instead repeatedly training model, results predicted

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ژورنال

عنوان ژورنال: International Journal of Health Sciences (IJHS)

سال: 2022

ISSN: ['2550-6978', '2550-696X']

DOI: https://doi.org/10.53730/ijhs.v6ns6.9748