Distance-Time Dependencies of Spatial Coordinates for Gait Recognition

This publication doesn't include Faculty of Arts. It includes Faculty of Sports Studies. Official publication website can be found on muni.cz.



Year of publication 2011
Type Article in Periodical
Magazine / Source Studia Sportiva
MU Faculty or unit

Faculty of Sports Studies

Field Informatics
Keywords Gait recognition; MUFIN; kinematic analysis; SIMI
Description We introduced a method of identifying people by their typical aspects of walking. We created a data representation for the MUFIN system. We have also developed a feature metrics for assessing the similarity of two data representations. To improve the gait recognition algorithm, it will be necessary to take further steps, including the following in particular: To enhance accuracy of extraction of gait patterns. To normalize extracted gait patterns in terms of the same length and starting phase. To represent a gait pattern by more than two curves. To represent a gait pattern by other specification not only from distance-time dependency graphs but also other – velocity, acceleration or pressure distribution measuring. To measure the larger number of people in laboratory conditions and also in real situations.
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