Human motion is a complex activity of the central nervous system (CNS) and muscles. Performance of a human motion can be decomposed into three components: estimation of trajectory; calculation of required signal for muscles; and performance of movement. The CNS conducts the first two tasks and the muscles perform the third task. This paper presents the development of a mathematical model and a Matlab Simulink plant for human gait movement. An internal model predictive control (MPC) is setup and plays as the human CNS to estimate the trajectory and to calculate the required signal for muscles to perform the movement. MPC calculates the required torques for each joint and generate optimal trajectories subject to human physical constraints for muscles. Results of simulation are analyzed and compared to the real human gait motions captured by a real motion capture system (Vicon). Finally, conclusions and recommendations from this research are withdrawn.


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    Titel :

    Simulation of Human Gait Movements: Simulation of Human Gait Movements


    Beteiligte:
    Minh, Vu Trieu (Autor:in) / Tamre, Mart (Autor:in) / Musalimov, Victor (Autor:in) / Kovalenko, Pavel (Autor:in) / Rubinshtein, Irina (Autor:in) / Ovchinnikov, Ivan (Autor:in) / Moezzi, Reza (Autor:in)

    Erscheinungsdatum :

    29.11.2020


    Anmerkungen:

    International Journal of Innovative Technology and Interdisciplinary Sciences; Vol. 3 No. 1 (2020): International Journal of Innovative Technology and Interdisciplinary Sciences - Volume 3, Issue 1; 326-345 ; 2613-7305


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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