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Fuzzy Expert System for Determining the Human Gait Phase

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F14%3A00224389" target="_blank" >RIV/68407700:21460/14:00224389 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy Expert System for Determining the Human Gait Phase

  • Original language description

    This paper describes fuzzy logic expert system (FES) uses data about the Zero Moment Point (ZMP) position for automatically determining the gait phases. Simplified human body model is introduced for computation of ZMP position which is the input to the FES. Information about the type of gait phase is the output of FES. The designed fuzzy-rules based system was tested to evaluate the gait of twenty-two volunteers. Results show that the proposed technique for determining the gait phases is suitable. In the case of identification of double supports, the FES was successful in 73%. In the case of identification of single supports, the FES was successful in 64%. The method for studying ZMP in combination with fuzzy logic could contribute to the design of newcontrol systems of prosthesis. Also, the technique can be used for specific rehabilitation examinations and the diagnosis of disorders of the musculoskeletal system.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    19th International Conference on Applied Electronics 2014

  • ISBN

    978-80-261-0276-2

  • ISSN

    1803-7232

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    315-318

  • Publisher name

    University of West Bohemia

  • Place of publication

    Pilsen

  • Event location

    Pilsen

  • Event date

    Oct 9, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article