Electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics

Abstract This work presents a dataset of human hand kinematics and forearm muscle activation collected during the performance of a wide variety of activities of daily living (ADLs), with tagged characteristics of products and tasks. A total of 26 participants performed 161 ADLs selected to be repres...

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Main Authors: Alba Roda-Sales, Néstor J. Jarque-Bou, Vicent Bayarri-Porcar, Verónica Gracia-Ibáñez, Joaquín L. Sancho-Bru, Margarita Vergara
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02723-w
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author Alba Roda-Sales
Néstor J. Jarque-Bou
Vicent Bayarri-Porcar
Verónica Gracia-Ibáñez
Joaquín L. Sancho-Bru
Margarita Vergara
author_facet Alba Roda-Sales
Néstor J. Jarque-Bou
Vicent Bayarri-Porcar
Verónica Gracia-Ibáñez
Joaquín L. Sancho-Bru
Margarita Vergara
author_sort Alba Roda-Sales
collection DOAJ
description Abstract This work presents a dataset of human hand kinematics and forearm muscle activation collected during the performance of a wide variety of activities of daily living (ADLs), with tagged characteristics of products and tasks. A total of 26 participants performed 161 ADLs selected to be representative of common elementary tasks, grasp types, product orientations and performance heights. 105 products were used, being varied regarding shape, dimensions, weight and type (common products and assistive devices). The data were recorded using CyberGlove instrumented gloves on both hands measuring 18 degrees of freedom on each and seven surface EMG sensors per arm recording muscle activity. Data of more than 4100 ADLs is presented in this dataset as MATLAB structures with full continuous recordings, which may be used in applications such as machine learning or to characterize healthy human hand behaviour. The dataset is accompanied with a custom data visualization application (ERGOMOVMUS) as a tool for ergonomics applications, allowing visualization and calculation of aggregated data from specific task, product and/or participants’ characteristics.
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spelling doaj.art-8354f89ad01e4139b2c7aed45cafc3a72023-11-26T12:18:15ZengNature PortfolioScientific Data2052-44632023-11-0110111310.1038/s41597-023-02723-wElectromyography and kinematics data of the hand in activities of daily living with special interest for ergonomicsAlba Roda-Sales0Néstor J. Jarque-Bou1Vicent Bayarri-Porcar2Verónica Gracia-Ibáñez3Joaquín L. Sancho-Bru4Margarita Vergara5Department of Mechanical Engineering and Construction, Universitat Jaume IDepartment of Mechanical Engineering and Construction, Universitat Jaume IDepartment of Mechanical Engineering and Construction, Universitat Jaume IDepartment of Mechanical Engineering and Construction, Universitat Jaume IDepartment of Mechanical Engineering and Construction, Universitat Jaume IDepartment of Mechanical Engineering and Construction, Universitat Jaume IAbstract This work presents a dataset of human hand kinematics and forearm muscle activation collected during the performance of a wide variety of activities of daily living (ADLs), with tagged characteristics of products and tasks. A total of 26 participants performed 161 ADLs selected to be representative of common elementary tasks, grasp types, product orientations and performance heights. 105 products were used, being varied regarding shape, dimensions, weight and type (common products and assistive devices). The data were recorded using CyberGlove instrumented gloves on both hands measuring 18 degrees of freedom on each and seven surface EMG sensors per arm recording muscle activity. Data of more than 4100 ADLs is presented in this dataset as MATLAB structures with full continuous recordings, which may be used in applications such as machine learning or to characterize healthy human hand behaviour. The dataset is accompanied with a custom data visualization application (ERGOMOVMUS) as a tool for ergonomics applications, allowing visualization and calculation of aggregated data from specific task, product and/or participants’ characteristics.https://doi.org/10.1038/s41597-023-02723-w
spellingShingle Alba Roda-Sales
Néstor J. Jarque-Bou
Vicent Bayarri-Porcar
Verónica Gracia-Ibáñez
Joaquín L. Sancho-Bru
Margarita Vergara
Electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics
Scientific Data
title Electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics
title_full Electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics
title_fullStr Electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics
title_full_unstemmed Electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics
title_short Electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics
title_sort electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics
url https://doi.org/10.1038/s41597-023-02723-w
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