Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals

Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals

In recent years, stress analysis by using electro-encephalography (EEG) signals incorporating machine learning techniques has emerged as an important area of research. EEG signals are one of the most important means of indirectly measuring the state of the brain. The existing stress algorithms lack...

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Bibliographic Details
Main Authors: Dongkoo Shon, Kichang Im, Jeong-Ho Park, Dong-Sun Lim, Byungtae Jang, Jong-Myon Kim
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:International Journal of Environmental Research and Public Health
Subjects:
stress detection
<i>k</i>-nearest neighbors
genetic algorithm
machine learning
Online Access:https://www.mdpi.com/1660-4601/15/11/2461

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https://www.mdpi.com/1660-4601/15/11/2461

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