MyoUP

MyoUP

Citation Author(s):
Nikolaos
Tsagkas
Panagiotis
Tsinganos
Athanassios
Skodras
University of Patras
Submitted by:
PANAGIOTIS TSINGANOS
Last updated:
Thu, 10/10/2019 - 09:38
DOI:
10.21227/fgk1-ct19
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The MyoUP (Myo University of Patras) database contains recordings from 8 intact subjects (3 females, 5 males; 1 left handed, 7 right handed; age 22.38 ± 1.06 years). The acquisition process was divided into three parts: 5 basic finger movements (E1), 12 isotonic and isometric hand configurations (E2), and 5 grasping hand-gestures (E3). The recording device used was the Myo Armband by Thalmic labs (8 dry sEMG channels and sampling frequency of 200Hz). The dataset was created for use in gesture recognition tasks.

Instructions: 

1. Unzip file

2. Run 'python3 create_dataset_myoup.py'

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[1] , "MyoUP", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/fgk1-ct19. Accessed: Oct. 14, 2019.
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doi = {10.21227/fgk1-ct19},
url = {http://dx.doi.org/10.21227/fgk1-ct19},
author = { },
publisher = {IEEE Dataport},
title = {MyoUP},
year = {2019} }
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PY - 2019
PB - IEEE Dataport
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. (2019). MyoUP. IEEE Dataport. http://dx.doi.org/10.21227/fgk1-ct19
, 2019. MyoUP. Available at: http://dx.doi.org/10.21227/fgk1-ct19.
. (2019). "MyoUP." Web.
1. . MyoUP [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/fgk1-ct19
. "MyoUP." doi: 10.21227/fgk1-ct19