Hierarchical Feature Recovery for Robust Human Activity Recognition in Body Sensor Networks

Nobuyuki Oishi, Paula Lago, Phil Birch, Daniel Roggen. Hierarchical Feature Recovery for Robust Human Activity Recognition in Body Sensor Networks. In Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022. pages 364-370, ACM, 2022. [doi]

@inproceedings{OishiLBR22,
  title = {Hierarchical Feature Recovery for Robust Human Activity Recognition in Body Sensor Networks},
  author = {Nobuyuki Oishi and Paula Lago and Phil Birch and Daniel Roggen},
  year = {2022},
  doi = {10.1145/3544793.3560392},
  url = {https://doi.org/10.1145/3544793.3560392},
  researchr = {https://researchr.org/publication/OishiLBR22},
  cites = {0},
  citedby = {0},
  pages = {364-370},
  booktitle = {Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9423-9},
}