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All Journal JUITA : Jurnal Informatika INSERT: Information System and Emerging Technology Journal
Sujaya, Made Agus Panji
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Computer Science & IT Engineering

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Journal : JUITA : Jurnal Informatika

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Subject Independent Emotion Recognition Using Electroencephalogram Signals with Continuous Capsule Network Method Sujaya, Made Agus Panji; Wirawan, I Made Agus; Indrawan, Gede
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 1, March 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i1.24583

Abstract

Emotions play an essential role in human reasoning. Researchers have made various efforts to improve emotion classification methods. Based on the several emotion classification methods studied in previous studies, the Continuous Capsule Network method produced the highest accuracy compared to other classification methods. This method can maintain spatial information from electroencephalogram signals so they are not reduced. However, this method has only been tested subject-dependently. Based on this study, the Continuous Capsule Network method will be applied to classify emotions in the Faculty of Engineering and Vocational Studies, Universitas Pendidikan Ganesha students. The number of participants involved in this study was 17 people (10 men and 7 women). Through six subjectindependent test scenarios, the Continuous Capsule Network method produced accuracy, precision, recall, and F1 scores of 99.31%, 99.34%, 99.20%, and 99.27, respectively. At the same time, the loss value was 0.88%. In addition, the Continuous Capsule Network method produced an average training and validation time of 401.17 seconds and an average testing time of 4.67 seconds for the six test scenarios.
Co-Authors Gede Indrawan I Gede Mahendra Darmawiguna M.Cs S.Kom I Made Agus Wirawan . Made Windu Antara Kesiman