Fall detection and activity recognition using human skeleton features

In this repository you will find the source code built to analyze two sources of data for falls and activities:

UP-Fall

Bi-Classifier and Multi-Classifier + Database preparation

UR-Fall

Bi-Classifier (with dataset preparation)

References

If this code is useful for you, please cite the following article:

Plain text:

H. Ramirez, S. A. Velastin, I. Meza, E. Fabregas, D. Makris and G. Farias, "Fall Detection and Activity Recognition Using Human Skeleton Features," in IEEE Access, vol. 9, pp. 33532-33542, 2021, doi: 10.1109/ACCESS.2021.3061626.

Bibtext:

@ARTICLE{9360751,
author={Ramirez, Heilym and Velastin, Sergio A. and Meza, Ignacio and Fabregas, Ernesto and Makris, Dimitrios and Farias, Gonzalo},
journal={IEEE Access},
title={Fall Detection and Activity Recognition Using Human Skeleton Features},
year={2021},
volume={9},
number={},
pages={33532-33542},
doi={10.1109/ACCESS.2021.3061626}}