@article{Rodr{\´i}guez de TrujilloSeepoldGaiduk2018,
  author    = {Rodr{\´i}guez de Trujillo, Eva and Seepold, Ralf and Gaiduk, Maksym},
  title     = {Position recognition algorithm using a two-stage pattern classification set applied in sleep tracking},
  journal   = {Procedia Computer Science},
  volume    = {126},
  issn      = {1877-0509},
  doi       = {10.1016/j.procs.2018.08.095},
  institution = {Fakult{\"a}t Informatik},
  pages     = {1819 -- 1827},
  year      = {2018},
  abstract  = {The overall goal of this work is to detect and analyze a person's movement, breathing and heart rate during sleep in a common bed overnight without any additional physical contact. The measurement is performed with the help of sensors placed between the mattress and the frame. A two-stage pattern classification algorithm based has been implemented that applies statistics analysis to recognize the position of patients. The system is implemented in a sensors-network, hosting several nodes and communication end-points to support quick and efficient classification. The overall tests show convincing results for the position recognition and a reasonable overlap in matching.},
  language  = {en}
}