Abstract The aim of this work is control the Mitsubishi RV-2JA Robot using sEMG surface electromyographic signals. The sEMG signals were obtained from the hand through a Myo bracelet with surface sensors. Myo surface sensors are able to detect the electromyographic signals generated by the muscles. The integration of the system was performed in Matlab's Simulink platform to process, identify, validate and control the robot through the electromyographic signals. The hand gestures analysis was performed using a temporal approximation that allowed the extraction of characteristics of the signals. It was determined that the parameters Electromyographic Integrated, Mean Absolute Value, Quadratic Mean and Variance have direct correlation with the type of Hand movement. In order to classify the first movements like spread fingers, wave right, wave left, elder and voor, we used 6 neural networks, which allow to activate 3 degrees of freedom of the robot. For the integration and verification of the real-time system, the hardware in loop simulation (HIL) was applied. This simulation allowed the execution of the plant model, the connection with the appropriate control and communication system to verify that the system controls the robot. ; http://ingenieria.ute.edu.ec/enfoqueute/index.php/revista/article/view/326


    Access

    Download


    Export, share and cite



    Title :

    Modeling and Simulation of the Robot Mitsubishi RV-2JA controlled by electromyographic signals



    Publication date :

    2018-06-29


    Remarks:

    oai:zenodo.org:2621417
    9(2) 208-222



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Electromyographic controlled vehicles and chairs

    JONES BRENDAN / MANERO II ALBERT / SPARKMAN JOHN | European Patent Office | 2019

    Free access

    Electromyographic Controlled Vehicles and Chairs

    JONES BRENDAN / MANERO II ALBERT / SPARKMAN JOHN | European Patent Office | 2019

    Free access

    A DRONE CONTROL NETHOD USING ELECTROMYOGRAPHIC SIGNALS

    SONG JOO HEE | European Patent Office | 2016

    Free access

    A Drone Control Unit Using Electromyographic Signals

    JANG SAE BYEOL | European Patent Office | 2017

    Free access

    Recognition of Movements Through Dynamic Electromyographic Signals

    Farfan, Fernando Daniel / Soletta, Jorge Humberto / Ruiz, Gabriel Alfredo et al. | BASE

    Free access