putEMG—A Surface Electromyography Hand Gesture Recognition Dataset

In this paper, we present a putEMG dataset intended for the evaluation of hand gesture recognition methods based on sEMG signal. The dataset was acquired for 44 able-bodied subjects and include 8 gestures (3 full hand gestures, 4 pinches and idle). It consists of uninterrupted recordings of 24 sEMG...

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Detalles Bibliográficos
Autores principales: Kaczmarek, Piotr, Mańkowski, Tomasz, Tomczyński, Jakub
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720505/
https://www.ncbi.nlm.nih.gov/pubmed/31416251
http://dx.doi.org/10.3390/s19163548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720505/
https://www.ncbi.nlm.nih.gov/pubmed/31416251
http://dx.doi.org/10.3390/s19163548

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