Inter-subject Event Related Potential Detection on Problematic Online Game Player EEG Signal Using Machine Learning Approach

• Published in: International Seminar on Research of Information Technology and Intelligent Systems (Online) pp. 784 - 788
• Main Authors: Khairani, Annisa Aulia, Ayuningtyas Kusumawardani, Sekar, Syawala, Anugrah, Wijayanto, Inung, Magdalena, Rita, Diantina, Fanni Putri
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.12.2024
• Subjects: Bayes methods; Brain modeling; Classification; EEG; Electroencephalography; ERP; Feature extraction; Games; Online Game; P300; Random forests; Scalability; Scalp; Seminars; Signal analysis

Online game disorder is a condition where individuals cannot control their gaming habits in online games, leading to disruptions in their daily lives. This study utilizes inter-subject respondents among individuals with online game disorder to explore the effects of this condition. Electroencephalog...