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All Journal JOINCS (Journal of Informatics, Network, and Computer Science)
Alkhafaji, Mohamed Ayad
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Computer Science & IT

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Facial Human Emotion Recognition by Using YOLO Faces Detection Algorithm: Pengenalan Emosi Wajah Manusia dengan Menggunakan Algoritma Deteksi Wajah YOLO Hasan, Mustafa Asaad; Lazem, Ali Hussein; Alkhafaji, Mohamed Ayad
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 6 No. 2 (2023): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v6i2.1629

Abstract

Deep emotions have gained importance recently because they constitute a form of interpersonal nonverbal communication that has been demonstrated and used in a variety of real-world contexts, including human-machine interactions, safety, and health. The best elements of a human face must be extracted in order to forecast the proper emotion expression, making this method extremely difficult. In this work, we provide a brand-new structural model to forecast human emotion on the face. The human face is found using the YOLO faces detection technique, and its attributes are extracted. These features then help to classify the face image into one of the seven emotions: natural, happy, sad, angry, surprised, fear, or disgust. The experiment demonstrated the robustness and speed of the suggested structure. This paper made use of the FER2013 dataset. The experimental findings demonstrated that the proposed system's accuracy was 94%.
Co-Authors Hasan, Mustafa Asaad Lazem, Ali Hussein