Classification of confusion level using EEG data and artificial neural networks

• المؤلفون الرئيسيون: Renosa, Claire Receli M., Bandala, Argel A., Vicerra, Ryan Rhay P.
• التنسيق: text
• منشور في: Animo Repository 2019
• الموضوعات: Electroencephalography; Neural networks (Computer science); Cognition disorders—Diagnosis; Electrical and Computer Engineering
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/1887; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2886/type/native/viewcontent

The purpose of this study is to create an artificial neural network (ANN) that can classify a person's level of confusion using Electroencephalography (EEG) data, more specifically, using the power spectrum of all the brain wave frequencies. This could help people in understanding the complicat...