Classification of confusion level using EEG data and artificial neural networks
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...
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Main Authors: | Renosa, Claire Receli M., Bandala, Argel A., Vicerra, Ryan Rhay P. |
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Format: | text |
Published: |
Animo Repository
2019
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1887 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2886/type/native/viewcontent |
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Institution: | De La Salle University |
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