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Distance-Time Dependencies of Spatial Coordinates for Gait Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14510%2F11%3A00073204" target="_blank" >RIV/00216224:14510/11:00073204 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distance-Time Dependencies of Spatial Coordinates for Gait Recognition

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/VF20102014004" target="_blank" >VF20102014004: Multimedia Analysis</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Studia Sportiva

  • ISSN

    1802-7679

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    7

  • Pages from-to

    410-416

  • UT code for WoS article

  • EID of the result in the Scopus database