Human Activity Recognition (HAR) dataset

The dataset used in this paper is a multiclass classification task where the goal is to correctly predict which of the 7 activities is being performed by the user. The information about the position of the smartphone will be used later to simulate concept drifts.

Data and Resources

Cite this as

D. Anguita, A. Ghio, L. Oneto, X. Parra, J. L. Reyes-Ortiz (2024). Dataset: Human Activity Recognition (HAR) dataset. https://doi.org/10.57702/7dq42w0w

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2312.05550
Citation
  • https://doi.org/10.48550/arXiv.1902.02808
  • https://doi.org/10.1145/3205455.3205555
  • https://doi.org/10.1007/s11042-021-11219-x
  • https://doi.org/10.1145/3097983.3098169
Author D. Anguita
More Authors
A. Ghio
L. Oneto
X. Parra
J. L. Reyes-Ortiz
Homepage https://dx.doi.org/10.1007/s11042-021-11219-x