Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices
The dataset presented in this paper is related to the performance of five Activities of Daily Living (ADL) with motion, such as walking, running, standing, walking upstairs, and walking downstairs. These activities were performed with a mobile device in a waistband, containing the data acquired from...
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doaj-3be36270f91e47adaf25501d4d25064f2020-12-21T04:45:22ZengElsevierData in Brief2352-34092020-12-0133106628Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devicesIvan Miguel Pires0Nuno M. Garcia1Eftim Zdravevski2Petre Lameski3Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal; Department of Computer Science, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal; UICISA:E Research Centre, School of Health, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal; Corresponding author at: Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, PortugalInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, PortugalFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaThe dataset presented in this paper is related to the performance of five Activities of Daily Living (ADL) with motion, such as walking, running, standing, walking upstairs, and walking downstairs. These activities were performed with a mobile device in a waistband, containing the data acquired from accelerometer, magnetometer, and gyroscope sensors. These data include the motion data, which allow the characterization of the different types of movement. The data acquisition was performed in open environments by 25 individuals (15 man, and 10 woman) in the Covilhã, and Fundão municipalities (Portugal). The data related to the different sensors was acquired with a sampling rate of 100 Hz by the accelerometer, 50 Hz by the magnetometer, and 100 Hz by the gyroscope sensors. It includes the captures related to a minimum of 2000 captures for each ADL, which corresponds to 2.8 h (approximately) for each ADL. In total, this dataset includes 13.9 h (approximately) of captures. These data can be reused for the implementation of data processing techniques, and artificial intelligence methods.http://www.sciencedirect.com/science/article/pii/S2352340920315080Activities of daily livingAccelerometerMagnetometerGyroscopeMobile devicesSensors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ivan Miguel Pires Nuno M. Garcia Eftim Zdravevski Petre Lameski |
spellingShingle |
Ivan Miguel Pires Nuno M. Garcia Eftim Zdravevski Petre Lameski Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices Data in Brief Activities of daily living Accelerometer Magnetometer Gyroscope Mobile devices Sensors |
author_facet |
Ivan Miguel Pires Nuno M. Garcia Eftim Zdravevski Petre Lameski |
author_sort |
Ivan Miguel Pires |
title |
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices |
title_short |
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices |
title_full |
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices |
title_fullStr |
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices |
title_full_unstemmed |
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices |
title_sort |
activities of daily living with motion: a dataset with accelerometer, magnetometer and gyroscope data from mobile devices |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2020-12-01 |
description |
The dataset presented in this paper is related to the performance of five Activities of Daily Living (ADL) with motion, such as walking, running, standing, walking upstairs, and walking downstairs. These activities were performed with a mobile device in a waistband, containing the data acquired from accelerometer, magnetometer, and gyroscope sensors. These data include the motion data, which allow the characterization of the different types of movement. The data acquisition was performed in open environments by 25 individuals (15 man, and 10 woman) in the Covilhã, and Fundão municipalities (Portugal). The data related to the different sensors was acquired with a sampling rate of 100 Hz by the accelerometer, 50 Hz by the magnetometer, and 100 Hz by the gyroscope sensors. It includes the captures related to a minimum of 2000 captures for each ADL, which corresponds to 2.8 h (approximately) for each ADL. In total, this dataset includes 13.9 h (approximately) of captures. These data can be reused for the implementation of data processing techniques, and artificial intelligence methods. |
topic |
Activities of daily living Accelerometer Magnetometer Gyroscope Mobile devices Sensors |
url |
http://www.sciencedirect.com/science/article/pii/S2352340920315080 |
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