Hafiz, Faisal (2022) Sistem Deteksi Emosi Manusia berdasarkan Ekspresi Wajah menggunakan Metode Attentional Convolutional Network. (Human Emotion Detection System Based on Facial Expression Using Attentional Convolutional Network Method). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.
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Abstract
Artificial intelligence is a highly developed field of science. Currently, one of the applications of artificial intelligence is the detection of human emotions based on facial expressions. However, the development of this detection system has many challenges, such as the lack of detection accuracy and the need for a long time to detect. Based on these problems, the research focuses on developing a human emotion detection system based on facial expressions using the Attentional Convolutional Network method. Based on the evaluation results that have been carried out, this system is able to recognize human facial expressions with a prediction accuracy rate of 79% from the train model results using hyperparameters Epoch = 500, LearningRate = 0.005, and BatchSize = 128. In addition, this system is also capable of detecting facial expressions. quickly in real time.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Emotion Detection, Face Expression, Attentional Convolutional Network |
Subjects: | Q Science > Q Science (General) |
Divisions: | Fakultas Teknik > Program Studi Teknik Informatika |
Depositing User: | 1461800024 Faisal Hafiz |
Date Deposited: | 06 Sep 2022 05:43 |
Last Modified: | 03 Apr 2024 02:16 |
URI: | http://repository.untag-sby.ac.id/id/eprint/19894 |
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