Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery

Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery

Electroencephalography (EEG) is a fundamental tool for understanding the brain’s electrical activity related to human motor activities. Brain-Computer Interface (BCI) uses such electrical activity to develop assistive technologies, especially those directed at people with physical disabilities. Howe...

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Bibliographic Details
Main Authors: de Brito Guerra, T.C (Author), de M. Martins, A. (Author), de Sousa, V.A., Jr (Author), Morya, E. (Author), Nóbrega, T. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
algorithm
Algorithms
Biomedical signal processing
Brain
Brain computer interface
Brain-Computer Interfaces
EEG
Electrical activities
electroencephalography
Electroencephalography
Electrophysiology
Forestry
guided imagery
human
Human activities
Humans
Image classification
Imagery, Psychotherapy
Learning algorithms
machine learning
Machine learning
Machine Learning
Machine-learning
mindwave
Mindwave
Motor activity
motor imagery
Motor imagery
random forest
Random forest algorithm
Random forests
Signal analysis
Signals analysis
V-AMP
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