Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11935
Title: Gait parameters identification using video tracking - Case study
Authors: Petrovic Savic, Suzana
Devedzic G.
Ristic, Branko
Matic, Aleksandar
Prodanovic, Nikola
Journal: 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
Issue Date: 28-Dec-2015
Abstract: © 2015 IEEE. In studies so far have been shown that clinical analysis of the gait parameters is extremely important for improving diagnostics and following illness or deficiencies of lower extremities, as well as for analyzing recuperation levels after therapy. Purpose of this paper is to analyze possibility of using easily affordable web cameras for recording knee movement. Recordings are made with web cam on Fujitsu lifebook E laptop. Algorithm for object tracking is made in programming environment MatLAB. Five participants have participated in this research. Results are graphically presented for left and right leg for one gait cycle along straight line and values for anterior posterior (AP) translation are shown in tables for every phase of gait cycle. Acquired study results show that it is possible to measure observed parameter in this way and that values correspond with values obtained in previous studies.
URI: https://scidar.kg.ac.rs/handle/123456789/11935
Type: conference paper
DOI: 10.1109/BIBE.2015.7367725
SCOPUS: 84962821128
Appears in Collections:Faculty of Engineering, Kragujevac
Faculty of Medical Sciences, Kragujevac

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