Abstract
Deep learning is an approach that is not recent. But its use in the field of emotion recognition is a very important and very recent subject. Because of its power in classification. In this work we used convolutional neural networks for based emotions recognition. (joy, sadness, anger, disgust, surprise, fear and neutral). Our proposed work is an intelligent system of emotion recognition with mathematical foundations explanation of convolutional neural networks. To evaluate our recognition system we used two evaluation metrics which are: The rate of good classification (tbcs) and Error rate. The recognition rate achieved is very satisfactory. Indeed our recognition system was able to recognize almost more than 90% of emotions.
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Belhouchette, K. (2021). Facial Recognition to Identify Emotions: An Application of Deep Learning. In: Saeed, F., Mohammed, F., Al-Nahari, A. (eds) Innovative Systems for Intelligent Health Informatics. IRICT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-030-70713-2_46
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DOI: https://doi.org/10.1007/978-3-030-70713-2_46
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