학술논문

Behavior Analysis Tool for Autistic Children Using EEG Signals
Document Type
Conference
Source
2019 Advances in Science and Engineering Technology International Conferences (ASET) Advances in Science and Engineering Technology International Conferences (ASET), 2019. :1-5 Mar, 2019
Subject
Aerospace
Engineered Materials, Dielectrics and Plasmas
Electroencephalography
Feature extraction
Brain modeling
Neurons
Training
Biological neural networks
Testing
Electroencephalogram
EEG
ASD
Deep Neural Networks
Emotion Detection
Language
Abstract
The purpose of this paper is to introduce the behavior analysis tool which detects Electroencephalogram (EEG) signals from the brain and classifies these readings into classes after processing the signals. The behavior analysis tool is targeted to work with children with Autism spectrum disease, and it works by predicting the emotion experienced by the child from the captured EEG signals to analyze the behavior.