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

• Main Author: Salceda, Juan Francesco C.
• Format: text
• Language: English
• Published: Animo Repository 2022
• Subjects: Algorithms; Electroencephalography; Computer Sciences; Theory and Algorithms
• Online Access: https://animorepository.dlsu.edu.ph/etdm_comsci/17; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1018&context=etdm_comsci
• Institution: 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...