Emotion classification using EEG headset signals and Random Forests
Emotions are one of the important components of the human being, thus they are a valuable part of daily activities such as interaction with people, decision making and learning. For this reason, it is important to detect, recognize and understand emotions using computational systems to improve commu...
Saved in:
| Hovedforfatter: | Vásquez, Ricardo (author) |
|---|---|
| Andre forfattere: | Carrión-Jumbo, Joe (author), Riofrío-Luzcando, Diego (author), Guevara-Maldonado, César (author) |
| Format: | article |
| Sprog: | eng |
| Udgivet: |
2023
|
| Online adgang: | https://ieeexplore.ieee.org/document/10211789/authors#authors https://hdl.handle.net/20.500.14809/5778 |
| Tags: |
Ingen Tags, Vær først til at tagge denne postø!
|
Lignende værker
-
Parkinson’s disease diagnosis using electroencephalographic (EEG) signal processing and machine learning techniques
af: Pozo Ruiz, Santiago Alexis
Udgivet: (2021) -
Detection of brain pathologies by machine learning using EEG signals (1D) and EEG surface images (3D): comparative analysis
af: Amaguaña Marmol, Daniel Alfredo
Udgivet: (2023) -
Development of filtering methods based on spectral decomposition for analyzing cognitive performance using electroencephalogram (EEG) signals
af: Marcillo Vera, Ana Gabriela
Udgivet: (2025) -
Deep Gaussian processes for the analysis of EEG signals in Alzheimer's diseases
af: Cumbicus Jiménez, Andy Mauricio
Udgivet: (2023) -
An exploratory study on the characterization and classification of electroencephalographic signals for the design of computer-aided epilepsy diagnosis system
af: Vega Gualán, Emil Darío
Udgivet: (2019)