Human Daily Activity and Fall Recognition Using a Smartphone's Acceleration Sensor

Charikleia Chatzaki, Matthew Pediaditis, George Vavoulas, Manolis Tsiknakis. Human Daily Activity and Fall Recognition Using a Smartphone's Acceleration Sensor. In Carsten Röcker, John O'Donoghue, Martina Ziefle, Markus Helfert, William Molloy, editors, Information and Communication Technologies for Ageing Well and e-Health - Second International Conference, ICT4AWE 2016, Rome, Italy, April 21-22, 2016, Revised Selected Papers. Volume 736 of Communications in Computer and Information Science, pages 100-118, Springer, 2016. [doi]

@inproceedings{ChatzakiPVT16-0,
  title = {Human Daily Activity and Fall Recognition Using a Smartphone's Acceleration Sensor},
  author = {Charikleia Chatzaki and Matthew Pediaditis and George Vavoulas and Manolis Tsiknakis},
  year = {2016},
  doi = {10.1007/978-3-319-62704-5_7},
  url = {https://doi.org/10.1007/978-3-319-62704-5_7},
  researchr = {https://researchr.org/publication/ChatzakiPVT16-0},
  cites = {0},
  citedby = {0},
  pages = {100-118},
  booktitle = {Information and Communication Technologies for Ageing Well and e-Health - Second International Conference, ICT4AWE 2016, Rome, Italy, April 21-22, 2016, Revised Selected Papers},
  editor = {Carsten Röcker and John O'Donoghue and Martina Ziefle and Markus Helfert and William Molloy},
  volume = {736},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-319-62704-5},
}