FACIAL EMOTION RECOGNITION USING DEEP LEARNING TECHNOLOGY

Recognizing emotions on human faces has always received attention and attraction from researchers. Along with the development of artificial intelligence, facial emotion recognition cameras are increasingly being introduced into various fields such as healthcare, education, and comerce. Thanks to the effective support of cameras integrated with artificial intelligence technology, the above fields are growing strongly. Therefore, this study will present an effective and simple facial emotion recognition model base on deep learning technology. Facial emotion recognition is performed automatically and accurately, shortening implementation time and increasing work efficiency. In this study, the VGG-Face model is trained using the FER-2013 data set and applied to evaluate customer service quality. The input data are videos of human faces that perform emotion recognition, and seven different facial expressions were used for recognition. Experimental results have shown the effectiveness of the model. Keywords: DeepFace; facial emotion recognition; FER-2013; MTCNN; VGG-Face.