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المؤلفHussein, Ealaf S.
المؤلفQidwai, Uvais
المؤلفAl-Meer, Mohamed
تاريخ الإتاحة2024-05-07T05:39:57Z
تاريخ النشر2020
اسم المنشور2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/ICIoT48696.2020.9089440
معرّف المصادر الموحدhttp://hdl.handle.net/10576/54671
الملخصEmotion recognition is the process of identifying human emotions. It is made possible by processing various modalities including facial expressions, speech signals, biometric signals, etc. Facial Emotion Recognition (FER) has been a growing field since the first works on FER by Ekman in 1970s where he adopted and improved the Facial Action Coding System (FACS). In human-computer interaction, FER is important for several applications in which the user's emotional state is required. The recent years witnessed hugbe advancements in artificial intelligence, specially neural networks; this paper uses convolutional neural network for FER to detect Emotional Stability. We achieve an accuracy of 81% on the classification of neutral, negative and positive emotions.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعCNNs
deep learning
Emotional Stability
Facial Emotion Recognition
Xception
العنوانEmotional Stability Detection Using Convolutional Neural Networks
النوعConference Paper
الصفحات136-140
dc.accessType Abstract Only


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