Classification of confusion level using EEG data and artificial neural networks

• Main Authors: Renosa, Claire Receli M., Bandala, Argel A., Vicerra, Ryan Rhay P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Electroencephalography; Neural networks (Computer science); Cognition disorders—Diagnosis; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1887; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2886/type/native/viewcontent
• Institution: De La Salle University

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...