Dataset of inertial measurements of smartphones and smartwatches for human activity recognition
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONMetadades
Títol
Dataset of inertial measurements of smartphones and smartwatches for human activity recognitionData de publicació
2023-11-17Editor
ElsevierCita bibliogràfica
MATEY-SANZ, Miguel; CASTELEYN, Sven; GRANELL, Carlos. Dataset of inertial measurements of smartphones and smartwatches for human activity recognition. Data in Brief, 2023, vol. 51, p. 109809.Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, ... [+]
This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, respectively. Twenty-three heterogeneous subjects (μ = 44.3, σ = 14.3, 56% male) participated in the data collection, which consisted of performing five activities (seated, standing up, walking, turning, and sitting down) arranged in a specific sequence (corresponding with the TUG test). Subjects performed the sequence of activities multiple times while the devices collected inertial data at 100 Hz and were video-recorded by a researcher for data labelling purposes. The goal of this dataset is to provide smartphone- and smartwatch-based inertial data for human activity recognition collected from a heterogeneous (i.e., age-diverse, gender-balanced) set of subjects. Along with the dataset, the repository includes demographic information (age, gender), information about each sequence of activities (smartphone's orientation in the pocket, direction of turns), and a Python package with utility functions (data loading, visualization, etc). The dataset can be reused for different purposes in the field of human activity recognition, from cross-subject evaluation to comparison of recognition performance using data from smartphones and smartwatches. [-]
Entitat finançadora
Spanish Ministry of Science, Innovation and Universities | MCIN/AEI/10.13039/501100011033 | Generalitat Valenciana
Codi del projecte o subvenció
FPU19/05352 | PID2020-120250RB-I00 | PID2022-1404475OB-C21 | PID2022-1404475OB-C22 | CIAICO/2022/111
Títol del projecte o subvenció
ERDF A way of making Europe
Drets d'accés
© 2023 The Author(s). Published by Elsevier Inc.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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