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Human Activity Recognition Using Smartphones Data Set

Activity recognition has become a popular research branch in the field of pervasive computing in recent years. A large number of experiments can be obtained that activity sensor-based data’s characteristic in activity recognition is variety, volume, and velocity. Deep learning technology, together with its various models, is one of the most effective ways of working on activity data.

Data and Resources

Cite this as

Li Xue, Si Xiandong, Nie Lanshun, Li Jiazhen, Ding Renjie, Zhan Dechen, Chu Dianhui (2024). Dataset: Human Activity Recognition Using Smartphones Data Set. https://doi.org/10.57702/khlem0qe

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2301.04511
Citation
  • https://doi.org/10.48550/arXiv.1805.07020
Author Li Xue
More Authors
Si Xiandong
Nie Lanshun
Li Jiazhen
Ding Renjie
Zhan Dechen
Chu Dianhui
Homepage http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones+Data+Set