Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/14076
Title: Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices
Authors: Pires, Ivan Miguel
Garcia, Nuno M
Zdravevski, Eftim 
Lameski, Petre 
Issue Date: Dec-2020
Publisher: Elsevier BV
Journal: Data in brief
Abstract: 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.
URI: http://hdl.handle.net/20.500.12188/14076
DOI: 10.1016/j.dib.2020.106628
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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