Human Activity Recognition

The Human Activity Recognition dataset contains data gathered from accelerometers and gyroscopes of cell phones from 30 individuals performing six different activities including lying-down, standing, walking, sitting, walking-upstairs, and walking-downstairs

Data and Resources

Cite this as

Shen Yan, Huan Song, Nanxiang Li, Lincan Zou, Liu Ren (2024). Dataset: Human Activity Recognition. https://doi.org/10.57702/fc3izjiy

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2004.10020
Citation
  • https://doi.org/10.48550/arXiv.2102.07148
  • https://doi.org/10.48550/arXiv.2001.00677
  • https://doi.org/10.48550/arXiv.2110.08989
  • https://doi.org/10.48550/arXiv.2006.13138
Author Shen Yan
More Authors
Huan Song
Nanxiang Li
Lincan Zou
Liu Ren
Homepage https://www.cs.cmu.edu/~epfl/courses/si2017-summer/datasets.html