Structured prediction with short/long-range dependencies for human activity recognition from depth skeleton data

Mohammad M. Arzani, Mahmood Fathy, Hamid Aghajan, Ahmad A. Azirani, Kaamran Raahemifar, Ehsan Adeli. Structured prediction with short/long-range dependencies for human activity recognition from depth skeleton data. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017. pages 560-567, IEEE, 2017. [doi]

@inproceedings{ArzaniFAARA17,
  title = {Structured prediction with short/long-range dependencies for human activity recognition from depth skeleton data},
  author = {Mohammad M. Arzani and Mahmood Fathy and Hamid Aghajan and Ahmad A. Azirani and Kaamran Raahemifar and Ehsan Adeli},
  year = {2017},
  doi = {10.1109/IROS.2017.8202208},
  url = {https://doi.org/10.1109/IROS.2017.8202208},
  researchr = {https://researchr.org/publication/ArzaniFAARA17},
  cites = {0},
  citedby = {0},
  pages = {560-567},
  booktitle = {2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-2682-5},
}