putEMG—A Surface Electromyography Hand Gesture Recognition Dataset

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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Bibliographic Details
Main Authors: Piotr Kaczmarek, Tomasz Mańkowski, Jakub Tomczyński
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
sEMG
dataset
gesture recognition
hand
human-machine interface
wearable
Online Access:https://www.mdpi.com/1424-8220/19/16/3548

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