Comparison of different algorithms and processing techniques for time series classification of academic emotions using EEG data

• المؤلف الرئيسي: Salceda, Juan Francesco C.
• التنسيق: text
• اللغة: English
• منشور في: Animo Repository 2022
• الموضوعات: Algorithms; Electroencephalography; Computer Sciences; Theory and Algorithms
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/etdm_comsci/17; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1018&context=etdm_comsci
• المؤسسة: De La Salle University

Use of brainwave signals recorded via Electroencephalogram (EEG) to determine the emotions of a subject is currently established in existing research. Identification of the emotional or affective state of students specifically, is also done to better engage them into learning. As data, EEG signals ar...