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sEMG dataset of routine activities

In this paper, we present the data set of surface electromyography (sEMG) and an Inertial Measurement Unit (IMU) against human muscle activity during routine activities. The Myo Thalamic Armband is used to acquire the signals from muscles below the elbow. The dataset comprises of raw sEMG, accelerom...

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Detalles Bibliográficos
Autores principales: Khan, Asad Mansoor, Khawaja, Sajid Gul, Akram, Muhammad Usman, Khan, Ali Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718130/
https://www.ncbi.nlm.nih.gov/pubmed/33304953
http://dx.doi.org/10.1016/j.dib.2020.106543
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author Khan, Asad Mansoor
Khawaja, Sajid Gul
Akram, Muhammad Usman
Khan, Ali Saeed
author_facet Khan, Asad Mansoor
Khawaja, Sajid Gul
Akram, Muhammad Usman
Khan, Ali Saeed
author_sort Khan, Asad Mansoor
collection PubMed
description In this paper, we present the data set of surface electromyography (sEMG) and an Inertial Measurement Unit (IMU) against human muscle activity during routine activities. The Myo Thalamic Armband is used to acquire the signals from muscles below the elbow. The dataset comprises of raw sEMG, accelerometer, gyro and derived orientation signals for four different activities. The four activities, which are selected for this dataset acquisition, are resting, typing, push up exercise and lifting a heavy object. Therefore, there are five associated files against each activity. The IMU data can be fused with the sEMG data for better classification of activities especially to separate aggressive and normal activities. The data is valuable for researchers working on assistive computer aided support systems for subjects with disabilities due to physical or mental disorder.
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spelling pubmed-77181302020-12-09 sEMG dataset of routine activities Khan, Asad Mansoor Khawaja, Sajid Gul Akram, Muhammad Usman Khan, Ali Saeed Data Brief Data Article In this paper, we present the data set of surface electromyography (sEMG) and an Inertial Measurement Unit (IMU) against human muscle activity during routine activities. The Myo Thalamic Armband is used to acquire the signals from muscles below the elbow. The dataset comprises of raw sEMG, accelerometer, gyro and derived orientation signals for four different activities. The four activities, which are selected for this dataset acquisition, are resting, typing, push up exercise and lifting a heavy object. Therefore, there are five associated files against each activity. The IMU data can be fused with the sEMG data for better classification of activities especially to separate aggressive and normal activities. The data is valuable for researchers working on assistive computer aided support systems for subjects with disabilities due to physical or mental disorder. Elsevier 2020-11-19 /pmc/articles/PMC7718130/ /pubmed/33304953 http://dx.doi.org/10.1016/j.dib.2020.106543 Text en © 2020 The Author(s) 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
Khan, Asad Mansoor
Khawaja, Sajid Gul
Akram, Muhammad Usman
Khan, Ali Saeed
sEMG dataset of routine activities
title sEMG dataset of routine activities
title_full sEMG dataset of routine activities
title_fullStr sEMG dataset of routine activities
title_full_unstemmed sEMG dataset of routine activities
title_short sEMG dataset of routine activities
title_sort semg dataset of routine activities
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718130/
https://www.ncbi.nlm.nih.gov/pubmed/33304953
http://dx.doi.org/10.1016/j.dib.2020.106543
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