@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} }