An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME

Electroencephalography (EEG) is a non-invasive method employed to discern human behaviors by monitoring the neurological responses during cognitive and motor tasks. Machine learning (ML) represents a promising tool for the recognition of human activities (HAR), and eXplainable artificial intelligenc...

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Detalles Bibliográficos
Autores principales: Hussain, Iqram, Jany, Rafsan, Boyer, Richard, Azad, AKM, Alyami, Salem A., Park, Se Jin, Hasan, Md Mehedi, Hossain, Md Azam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490625/
https://www.ncbi.nlm.nih.gov/pubmed/37687908
http://dx.doi.org/10.3390/s23177452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490625/
https://www.ncbi.nlm.nih.gov/pubmed/37687908
http://dx.doi.org/10.3390/s23177452

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