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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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Bibliographische Detailangaben
Veröffentlicht in:Sensors (Basel)
Hauptverfasser: Kaczmarek, Piotr, Mańkowski, Tomasz, Tomczyński, Jakub
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6720505/
https://ncbi.nlm.nih.gov/pubmed/31416251
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19163548
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