Challenge of Detecting Personal Deviations and Trends in Sensor Based Activity Data

Miriam Lingg, Chantal N. L. Beutter, Stefan Sigle, Daniel Zsebedits, Christian Fegeler. Challenge of Detecting Personal Deviations and Trends in Sensor Based Activity Data. In Rainer Röhrig, Niels Grabe, Martin Haag, Ursula Hübner, Ulrich Sax, Carsten Oliver Schmidt, Martin Sedlmayr, Antonia Zapf, editors, German Medical Data Sciences 2023 - Science. Close to People. - Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023 in Heilbronn, Germany. Volume 307 of Studies in Health Technology and Informatics, pages 180-188, IOS Press, 2023. [doi]

@inproceedings{LinggBSZF23,
  title = {Challenge of Detecting Personal Deviations and Trends in Sensor Based Activity Data},
  author = {Miriam Lingg and Chantal N. L. Beutter and Stefan Sigle and Daniel Zsebedits and Christian Fegeler},
  year = {2023},
  doi = {10.3233/SHTI230711},
  url = {https://doi.org/10.3233/SHTI230711},
  researchr = {https://researchr.org/publication/LinggBSZF23},
  cites = {0},
  citedby = {0},
  pages = {180-188},
  booktitle = {German Medical Data Sciences 2023 - Science. Close to People. - Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023 in Heilbronn, Germany},
  editor = {Rainer Röhrig and Niels Grabe and Martin Haag and Ursula Hübner and Ulrich Sax and Carsten Oliver Schmidt and Martin Sedlmayr and Antonia Zapf},
  volume = {307},
  series = {Studies in Health Technology and Informatics},
  publisher = {IOS Press},
  isbn = {978-1-64368-429-1},
}