Classification of Aggressive Behaviors Based on sEMG Feature Extraction and Machine Learning Algorithm

New surface electromyography (sEMG) feature extraction approach combined with Empirical Mode Decomposition (EMD) and Dispersion Entropy (DisEn) is proposed for classifying aggressive and normal behaviors from sEMG data. In this study, we used the sEMG physical action dataset from the UC Irvine Machi...

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Detalles Bibliográficos
Autores principales: Kim, Youngjun, David, Uchechukuwu, Noh, Yeonsik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743341/
http://dx.doi.org/10.1093/geroni/igaa057.2262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743341/
http://dx.doi.org/10.1093/geroni/igaa057.2262

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