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Model of myoelectric arm with obstacle detection system using fuzzy logic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F13%3A00213802" target="_blank" >RIV/68407700:21460/13:00213802 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Model of myoelectric arm with obstacle detection system using fuzzy logic

  • Original language description

    This paper presents a new system designed for application in upper extremity prosthesis. Artificial upper limb with our system is experimental robot arm controlled by EMG signals and signals from obstacle detection sensors. The multi-sensor system is based on ultrasonic sensors and motor load sensors for detecting the obstacles and loads applied to the actuators. The motor load sensors indicate physical contact with an object, and fuzzy expert system identifies the approximate magnitude and direction ofan external contact force. The multi-sensor system can identify distance of obstacles and collisions in 3D space. The used robotic arm is a model of promising prosthetic arm and its control system and used methods were designed and verified by MatLab/Simulink.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    FS - Medical facilities, apparatus and equipment

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/VG20102015002" target="_blank" >VG20102015002: Flexiguard</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Applied Electronics - 2013 International Conference on Applied Electronics

  • ISBN

    978-80-261-0166-6

  • ISSN

    1803-7232

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    161-164

  • Publisher name

    University of West Bohemia

  • Place of publication

    Pilsen

  • Event location

    Pilsen

  • Event date

    Sep 10, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article