In this paper we evaluate the use of linear regressors to reconstruct knee angles from electromyographic signals recorded from lower-limb muscles in charge of knee flexion and extension. This neuromechanical model has been tested under two different speed conditions showing a very reliable reconstruction of knee kinematics for all participants. A generalized model, including all participants, has also been tested with a small reduction of decoding accuracy, but still showing enough reliability. The application of neuromechanical modelling has important advantages in the generation of a more natural and embodied control of lower-limb exoskeletons. The proposed model is expected to have a robust behavior in a real-time control of this kind of devices.


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    Title :

    A Neuromechanical Model of Knee Flexion-Extension Based on Linear Regressors for Neuro-Controlled Exoskeletons


    Additional title:

    Lect. Notes in Networks, Syst.



    Conference:

    Iberian Robotics conference ; 2022 ; Zaragoza, Spain November 23, 2022 - November 25, 2022



    Publication date :

    2022-11-19


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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