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EEG-Based Emotion Classification for Alzheimer's Disease Patients Using Conventional Machine Learning and Recurrent
Jungryul Seo1, Teemu H Laine2, Gyuhwan Oh2
1Department of Computer Engineering, Ajou University, Suwon 16499, Korea.
Sensors (Basel, Switzerland)
|December 19, 2020
Summary
Researchers developed a machine learning model to detect emotions in Alzheimer's disease (AD) patients using electroencephalography (EEG) data. The multilayer perceptron model achieved 70.97% accuracy, paving the way for emotion-adaptive virtual reality healthcare applications.
Failed At:
2026-06-19T13:38:50.637536+00:00
