Human Activity Recognition from Sensor-Based Large-Scale Continuous Monitoring of Parkinson's Disease Patients

Wei-Yi Cheng, Alf Scotland, Florian Lipsmeier, Timothy Kilchenmann, Liping Jin, Jens Schjodt-Eriksen, Detlef Wolf, Yan-Ping Zhang Schärer, Ignacio Fernandez Garcia, Juliane Siebourg-Polster, Jay Soto, Lynne Verselis, Meret Martin-Facklam, Frank Boess, Martin Koller, Michael Grundman, Andreas U. Monsch, Ron Postuma, Anirvan Ghosh, Thomas Kremer, Kirsten Taylor, Christian Czech, Christian Gossens, Michael Lindemann. Human Activity Recognition from Sensor-Based Large-Scale Continuous Monitoring of Parkinson's Disease Patients. In Paolo Bonato, Honggang Wang, editors, Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017, Philadelphia, PA, USA, July 17-19, 2017. pages 249-250, IEEE Computer Society / ACM, 2017. [doi]

@inproceedings{ChengSLKJSWSGSS17,
  title = {Human Activity Recognition from Sensor-Based Large-Scale Continuous Monitoring of Parkinson's Disease Patients},
  author = {Wei-Yi Cheng and Alf Scotland and Florian Lipsmeier and Timothy Kilchenmann and Liping Jin and Jens Schjodt-Eriksen and Detlef Wolf and Yan-Ping Zhang Schärer and Ignacio Fernandez Garcia and Juliane Siebourg-Polster and Jay Soto and Lynne Verselis and Meret Martin-Facklam and Frank Boess and Martin Koller and Michael Grundman and Andreas U. Monsch and Ron Postuma and Anirvan Ghosh and Thomas Kremer and Kirsten Taylor and Christian Czech and Christian Gossens and Michael Lindemann},
  year = {2017},
  url = {http://dl.acm.org/citation.cfm?id=3204131},
  researchr = {https://researchr.org/publication/ChengSLKJSWSGSS17},
  cites = {0},
  citedby = {0},
  pages = {249-250},
  booktitle = {Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017, Philadelphia, PA, USA, July 17-19, 2017},
  editor = {Paolo Bonato and Honggang Wang},
  publisher = {IEEE Computer Society / ACM},
  isbn = {978-1-5090-4722-2},
}