Medical robotics have drawn increasing research interests in the past years. The potential of employing intelligence techniques is still not yet fully utilized to improve the capabilities of medical devices for assisting human beings during surgical operations. This book chapter presents a novel human activity recognition enhanced robot-assisted surgery to promote human enhancement with AI techniques. Novel-designed multisensory fusion systems can be used to provide more knowledge to boost the recognition rate and robustness. Then the identification results in the complex environment using deep learning can be used to determine the machine behavior using a hierarchical control framework. A detailed explanation is introduced in this chapter.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Towards Human Activity Recognition Enhanced Robot Assisted Surgery


    Additional title:

    Mechan. Machine Science


    Contributors:

    Published in:

    Robot Design ; Chapter : 7 ; 143-168


    Publication date :

    2022-10-02


    Size :

    26 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Human Activity Recognition Enhanced Robot-Assisted Minimally Invasive Surgery

    Su, Hang / Qi, Wen / Yang, Chenguang et al. | TIBKAT | 2020


    DTMF Based Robot Assisted Tele Surgery

    Vikas Pandey / T. L. Joshy / Vyshak Vijayan et al. | BASE | 2014

    Free access

    Robot-assisted vitreoretinal surgery: current perspectives.

    Roizenblatt, M / Edwards, TL / Gehlbach, PL | BASE | 2018

    Free access

    GRACE: Online Gesture Recognition for Autonomous Camera-Motion Enhancement in Robot-Assisted Surgery

    Pasini, Nicolò / Mariani, Andrea / Deguet, Anton et al. | BASE | 2023

    Free access

    Robot Assisted Object Manipulation for Minimally Invasive Surgery

    D'Ettorre, Claudia | BASE | 2022

    Free access