Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783619449097551872 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7718130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT khanasadmansoor semgdatasetofroutineactivities AT khawajasajidgul semgdatasetofroutineactivities AT akrammuhammadusman semgdatasetofroutineactivities AT khanalisaeed semgdatasetofroutineactivities |