During the last years, new technologies approaches have helped to develop realistic robotic hands for prosthetic use. Even so, the strategies to control them (input signals, prediction algorithms) are still limiting a complete match between the robotic hand and the real hand movements and behaviors. On this thesis, two different input signals (FMG and sEMG) were evaluated. From this analysis characteristic properties from each kind of signal were obtained, related with wrist and hand movements. In this way two different learning methods were implemented for the first time on robotic hand research. The goal of these two methods was to combine both kind of input signals, supported by the feature analysis previously done, in order to improve the movements prediction performance. The methods’ performance were compared with the separate input signals methods, so the improvement could be measured. Both mixing methods presented better results than the single input signal ones. These results along with other considerations defined, could lead to a robotic hand performance improvement from different perspectives


    Access

    Download


    Export, share and cite



    Title :

    Control of a hand prosthesis using mixed electromyography and pressure sensing



    Publication date :

    2016-09-05


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    004 / 629




    Spatial Registration of Hand Muscle Electromyography Signals

    Atzori, Manfredo / Castellini, Claudio / Müller, Henning | German Aerospace Center (DLR) | 2012

    Free access

    A multi-fingered hand prosthesis

    Yang, Jingzhou | Online Contents | 2004


    UT hand I: A lock-based underactuated hand prosthesis

    Peerdeman, Bart | Online Contents | 2014


    Myoelectric Hand Prosthesis with Haptic System

    Bautista-Rodriguez, Alexis E. / Guillen-Juarez, Kevin A. / de la Tejera, Javier A. et al. | IEEE | 2021


    Analysis of Electromyography and Skin Conductance Response during Rubber Hand Illusion

    Tsuji, Takuma / Hamasaki, Shunsuke / Maeda, Takaki et al. | British Library Online Contents | 2015