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

• 主要作者: Salceda, Juan Francesco C.
• 格式: text
• 語言: English
• 出版: Animo Repository 2022
• 主題: Algorithms; Electroencephalography; Computer Sciences; Theory and Algorithms
• 在線閱讀: https://animorepository.dlsu.edu.ph/etdm_comsci/17; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1018&context=etdm_comsci

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...