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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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| Pubblicato in: | Innov Aging |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7743341/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/geroni/igaa057.2262 |
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