USK-FEMO: A Face Emotion Dataset using Deep Learning for Effective Learning

Muhajir Muhajir, Maulisa Oktiana, Kahlil Muchtar, Maya Fitria, Akhyar Akhyar, Muhammad Dandy Pratama, Chih Yang Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Emotions play an essential role in the learning process and have an impact on how the learning process is eventually carried out. Facial expressions can be used to visually identify a person's emotions. Along with the advancement of computer vision and deep learning techniques, the study of human-computer interaction is increasingly focusing on the recognition of facial expressions. One of the main issues is the availability of sufficient datasets, especially for students. This study examined the deep learning architecture for face emotion classification. In addition, this research also introduces a new emotional dataset acquired from the junior high school student at SMP Negeri 1 Darul Imarah, Aceh Besar Regency, Indonesia. This dataset contains five classes that include the emotions of happiness, sadness, anger, surprise, and boredom. The dataset was then tested using the Mobile-Net architecture, the highest accuracy was achieved with a learning rate of 0.0001% of 88.492%. %. The dataset can be explored via the link https://muhajir2111.github.io/USK-FEMO-DATASET/.

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主出版物標題Proceeding - 2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering
主出版物子標題Sustainable Development for Smart Innovation System, COSITE 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面199-203
頁數5
ISBN(電子)9798350343069
DOIs
出版狀態已出版 - 2023
事件2nd International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2023 - Banda Aceh, Indonesia
持續時間: 2 8月 20233 8月 2023

出版系列

名字Proceeding - 2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering: Sustainable Development for Smart Innovation System, COSITE 2023

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???event.eventtypes.event.conference???2nd International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2023
國家/地區Indonesia
城市Banda Aceh
期間2/08/233/08/23

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