putEMG -- a surface electromyography hand gesture recognition dataset

In this paper, we present a putEMG dataset intended for 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 cha...

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Veröffentlicht in:	arXiv.org 2019-08
Hauptverfasser:	Kaczmarek, Piotr, Mańkowski, Tomasz, Tomczyński, Jakub
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Classifiers Computer Science - Human-Computer Interaction Datasets Electrodes Electromyography Forearm Gesture recognition Support vector machines Video data
Online-Zugang:	Volltext
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