Data mining time series of human locomotion data based on functional approximation (CROSBI ID 528652)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ergović, Vladimir ; Tonković, Stanko ; Medved, Vladimir ; Kasović, Mario
engleski
Data mining time series of human locomotion data based on functional approximation
In many of medical application specially one considering time sequence data like data describing human gait, searching through large, unstructured databases based on sample sequence is often desirable. Such similarity-based retrieval has attracted a great deal of attention in recent years. Although several different approaches have appeared, most are not specialized for the problem of human locomotion. This paper gives an overview of one proposed approach how to efficiency process human gait by using Fourier's series approximation, genetic algorithms for coefficients corrections and Spectral Signatures as data mining method. This paper shows how these methods fit into a general context of signature extraction and disorder recognition in the human gait case.
data mining; time series; human gait; approximation methods; disorder classification
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Podaci o prilogu
677-680-x.
2007.
objavljeno
Podaci o matičnoj publikaciji
IFMBE Proceedings MEDICON 2007, Vol. 16
Jarm, Tomaz ; Kramar, Peter ; Županić, Anze
Ljubljana:
978-3-540-73043-9
1727-1983
Podaci o skupu
11th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2007)
predavanje
26.06.2007-30.06.2007
Ljubljana, Slovenija
Povezanost rada
Elektrotehnika, Kliničke medicinske znanosti, Informacijske i komunikacijske znanosti