Abstract
This article evaluates techniques for obtaining facial images from convolutional neural networks to identify emotion expressions. The primary goal of the paper is to discuss the most often used approaches to analyzing and recognizing emotional expressions on the face. The works that were reviewed might be divided into two major trends: the traditional techniques and those that were especially developed using neural networks.The analysis revealed that using CNNs improved level of performance.
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Knouzi, M., Ennaji, F.Z., Hafidi, I. (2023). Emotion Recognition Techniques. In: Aboutabit, N., Lazaar, M., Hafidi, I. (eds) Advances in Machine Intelligence and Computer Science Applications. ICMICSA 2022. Lecture Notes in Networks and Systems, vol 656. Springer, Cham. https://doi.org/10.1007/978-3-031-29313-9_14
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DOI: https://doi.org/10.1007/978-3-031-29313-9_14
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