A Survey on Human Activity Recognition using Wearable Sensors

@article{Lara2013ASO,
  title={A Survey on Human Activity Recognition using Wearable Sensors},
  author={Oscar D. Lara and Miguel A. Labrador},
  journal={IEEE Communications Surveys & Tutorials},
  year={2013},
  volume={15},
  pages={1192-1209}
}
Providing accurate and opportune information on people's activities and behaviors is one of the most important tasks in pervasive computing. Innumerable applications can be visualized, for instance, in medical, security, entertainment, and tactical scenarios. Despite human activity recognition (HAR) being an active field for more than a decade, there are still key aspects that, if addressed, would constitute a significant turn in the way people interact with mobile devices. This paper surveys… CONTINUE READING
Highly Influential
This paper has highly influenced 47 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,382 citations. REVIEW CITATIONS

14 Figures & Tables

Topics

Statistics

02004002012201320142015201620172018
Citations per Year

1,382 Citations

Semantic Scholar estimates that this publication has 1,382 citations based on the available data.

See our FAQ for additional information.