Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope
Cristiana Lopes Gabriel,
Ivan Miguel Pires,
Norberto Jorge Gonçalves,
Paulo Jorge Coelho,
Eftim Zdravevski,
Petre Lameski,
Carlos Albuquerque,
Nuno M. Garcia,
Carlos Carreto
Affiliations
Cristiana Lopes Gabriel
Research Unit for Inland Development, Polytechnic of Guarda, Guarda, Portugal
Ivan Miguel Pires
Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, Portugal; Corresponding author.
Norberto Jorge Gonçalves
Escola de Ciências e Tecnologia, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal
Paulo Jorge Coelho
Polytechnic of Leiria, Leiria, Portugal; Department of Electrical and Computer Engineering, INESC Coimbra, University of Coimbra, Pólo 2, 3030-290 Coimbra, Portugal
Eftim Zdravevski
Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North Macedonia
Petre Lameski
Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North Macedonia
Carlos Albuquerque
Health 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, Portugal
Nuno M. Garcia
Instituto de Telecomunicações, 6201-001 Covilhã, Portugal; Universidade de Lisboa, 1749-016 Lisboa, Portugal
Carlos Carreto
Research Unit for Inland Development, Polytechnic of Guarda, Guarda, Portugal
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.
