Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope
This paper presents a dataset related to the performance of the Ten Meter Walking Test, a test to allow locomotor capacity in different research and clinical settings. One of the most important parameters to measure is the gait speed during a path of ten meters. The data available in this dataset co...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923009289 |
| _version_ | 1827353677555302400 |
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| author | Cristiana Lopes Gabriel Ivan Miguel Pires Norberto Jorge Gonçalves Paulo Jorge Coelho Eftim Zdravevski Petre Lameski Carlos Albuquerque Nuno M. Garcia Carlos Carreto |
| author_facet | Cristiana Lopes Gabriel Ivan Miguel Pires Norberto Jorge Gonçalves Paulo Jorge Coelho Eftim Zdravevski Petre Lameski Carlos Albuquerque Nuno M. Garcia Carlos Carreto |
| author_sort | Cristiana Lopes Gabriel |
| collection | DOAJ |
| description | This paper presents a dataset related to the performance of the Ten Meter Walking Test, a test to allow locomotor capacity in different research and clinical settings. One of the most important parameters to measure is the gait speed during a path of ten meters. The data available in this dataset consists of accelerometer, magnetometer, and gyroscope data acquired with a mobile device in a waistband. The experiments were performed two times by 109 individuals (30 males and 79 females) in different senior residences in the Fundão municipality (Portugal). The dataset includes 208 samples because the sensors reported some failures. The acquisition of the sensors data allows the creation of a technological method for the automatic measurement of features related to the Ten Meter Walk Test, promoting patient independence in measuring their physical health status. |
| first_indexed | 2024-03-08T03:29:57Z |
| format | Article |
| id | doaj.art-0e921fb383ea48f48c9c0fe48d8f5c15 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-08T03:29:57Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-0e921fb383ea48f48c9c0fe48d8f5c152024-02-11T05:10:25ZengElsevierData in Brief2352-34092024-02-0152109867Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscopeCristiana Lopes Gabriel0Ivan Miguel Pires1Norberto Jorge Gonçalves2Paulo Jorge Coelho3Eftim Zdravevski4Petre Lameski5Carlos Albuquerque6Nuno M. Garcia7Carlos Carreto8Research Unit for Inland Development, Polytechnic of Guarda, Guarda, PortugalInstituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, Portugal; Corresponding author.Escola de Ciências e Tecnologia, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, PortugalPolytechnic of Leiria, Leiria, Portugal; Department of Electrical and Computer Engineering, INESC Coimbra, University of Coimbra, Pólo 2, 3030-290 Coimbra, 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 MacedoniaHealth Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), Coimbra, Portugal; Higher School of Health of the Polytechnic Institute of Viseu, Viseu, Portugal; Child Studies Research Center (CIEC), University of Minho, Braga, PortugalInstituto de Telecomunicações, 6201-001 Covilhã, Portugal; Universidade de Lisboa, 1749-016 Lisboa, PortugalResearch Unit for Inland Development, Polytechnic of Guarda, Guarda, PortugalThis paper presents a dataset related to the performance of the Ten Meter Walking Test, a test to allow locomotor capacity in different research and clinical settings. One of the most important parameters to measure is the gait speed during a path of ten meters. The data available in this dataset consists of accelerometer, magnetometer, and gyroscope data acquired with a mobile device in a waistband. The experiments were performed two times by 109 individuals (30 males and 79 females) in different senior residences in the Fundão municipality (Portugal). The dataset includes 208 samples because the sensors reported some failures. The acquisition of the sensors data allows the creation of a technological method for the automatic measurement of features related to the Ten Meter Walk Test, promoting patient independence in measuring their physical health status.http://www.sciencedirect.com/science/article/pii/S2352340923009289Ten meter walk testAccelerometerMagnetometerGyroscopeHealthPhysical tests |
| spellingShingle | Cristiana Lopes Gabriel Ivan Miguel Pires Norberto Jorge Gonçalves Paulo Jorge Coelho Eftim Zdravevski Petre Lameski Carlos Albuquerque Nuno M. Garcia Carlos Carreto Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope Data in Brief Ten meter walk test Accelerometer Magnetometer Gyroscope Health Physical tests |
| title | Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope |
| title_full | Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope |
| title_fullStr | Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope |
| title_full_unstemmed | Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope |
| title_short | Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope |
| title_sort | ten meter walk test with mobile devices a dataset with accelerometer magnetometer and gyroscope |
| topic | Ten meter walk test Accelerometer Magnetometer Gyroscope Health Physical tests |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923009289 |
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