Facial emotion recognition using deep learning
Human Emotion detection from images is one of the most potent and challenging research tasks in social communication. Deep learning (DL) based emotion detection gives performance better than traditional methods with image processing. This paper presents the design of an artificial intelligence (AI) system capable of emotion detection through facial expressions. It discusses the procedure of emotion detection, which includes basically three main steps: face detection, features extraction, and emotion classification. This paper proposed a convolutional neural network (CNN) based deep learning architecture for emotion detection from images. The performance of the proposed method is evaluated using two datasets Facial emotion recognition challenge (FERC-2013) and Japanese female facial emotion (JAFFE). The accuracy of the proposed model is 70.14 and 98.65 per cent for FERC-2013 and JAFFE datasets, respectively.
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00:00:00 - Facial emotion recognition using deep learning.
#computervision #deep #learning