A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet

Surface Electromyography (EMG) and Inertial Measurement Unit (IMU) sensors are gaining the attention of the research community as data sources for automatic sign language recognition. In this regard, we provide a dataset of EMG and IMU data collected using the Myo Gesture Control Armband, during the...

Descripción completa

Detalles Bibliográficos
Autores principales: Pacifici, Iacopo, Sernani, Paolo, Falcionelli, Nicola, Tomassini, Selene, Dragoni, Aldo Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644570/
https://www.ncbi.nlm.nih.gov/pubmed/33195774
http://dx.doi.org/10.1016/j.dib.2020.106455
_version_ 1783606485978185728
author Pacifici, Iacopo
Sernani, Paolo
Falcionelli, Nicola
Tomassini, Selene
Dragoni, Aldo Franco
author_facet Pacifici, Iacopo
Sernani, Paolo
Falcionelli, Nicola
Tomassini, Selene
Dragoni, Aldo Franco
author_sort Pacifici, Iacopo
collection PubMed
description Surface Electromyography (EMG) and Inertial Measurement Unit (IMU) sensors are gaining the attention of the research community as data sources for automatic sign language recognition. In this regard, we provide a dataset of EMG and IMU data collected using the Myo Gesture Control Armband, during the execution of the 26 gestures of the Italian Sign Language alphabet. For each gesture, 30 data acquisitions were executed, composing a total of 780 samples included in the dataset. The gestures were performed by the same subject (male, 24 years old) in lab settings. EMG and IMU data were collected in a 2 seconds time window, at a sampling frequency of 200 Hz.
format Online
Article
Text
id pubmed-7644570
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-76445702020-11-13 A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet Pacifici, Iacopo Sernani, Paolo Falcionelli, Nicola Tomassini, Selene Dragoni, Aldo Franco Data Brief Data Article Surface Electromyography (EMG) and Inertial Measurement Unit (IMU) sensors are gaining the attention of the research community as data sources for automatic sign language recognition. In this regard, we provide a dataset of EMG and IMU data collected using the Myo Gesture Control Armband, during the execution of the 26 gestures of the Italian Sign Language alphabet. For each gesture, 30 data acquisitions were executed, composing a total of 780 samples included in the dataset. The gestures were performed by the same subject (male, 24 years old) in lab settings. EMG and IMU data were collected in a 2 seconds time window, at a sampling frequency of 200 Hz. Elsevier 2020-10-22 /pmc/articles/PMC7644570/ /pubmed/33195774 http://dx.doi.org/10.1016/j.dib.2020.106455 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Pacifici, Iacopo
Sernani, Paolo
Falcionelli, Nicola
Tomassini, Selene
Dragoni, Aldo Franco
A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet
title A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet
title_full A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet
title_fullStr A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet
title_full_unstemmed A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet
title_short A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet
title_sort surface electromyography and inertial measurement unit dataset for the italian sign language alphabet
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644570/
https://www.ncbi.nlm.nih.gov/pubmed/33195774
http://dx.doi.org/10.1016/j.dib.2020.106455
work_keys_str_mv AT pacificiiacopo asurfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT sernanipaolo asurfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT falcionellinicola asurfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT tomassiniselene asurfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT dragonialdofranco asurfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT pacificiiacopo surfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT sernanipaolo surfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT falcionellinicola surfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT tomassiniselene surfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet
AT dragonialdofranco surfaceelectromyographyandinertialmeasurementunitdatasetfortheitaliansignlanguagealphabet

Ejemplares similares