Publication details

Distance-Time Dependencies of Spatial Coordinates for Gait Recognition



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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