An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data

Cite

Text

Lisowska et al. "An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data." IEEE/CVF International Conference on Computer Vision Workshops, 2015. doi:10.1109/ICCVW.2015.60

Markdown

[Lisowska et al. "An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data." IEEE/CVF International Conference on Computer Vision Workshops, 2015.](https://mlanthology.org/iccvw/2015/lisowska2015iccvw-evaluation/) doi:10.1109/ICCVW.2015.60

BibTeX

@inproceedings{lisowska2015iccvw-evaluation,
  title     = {{An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data}},
  author    = {Lisowska, Aneta and Wheeler, Gavin and Inza, Victor Ceballos and Poole, Ian},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2015},
  pages     = {402-408},
  doi       = {10.1109/ICCVW.2015.60},
  url       = {https://mlanthology.org/iccvw/2015/lisowska2015iccvw-evaluation/}
}