Accepted special sessions

  • Special session, Robotic and Computer Assisted Surgery
    Organizers:
    Med Amine Laribi, University of Poitiers, France
    Terence Essomba, National Central University, Taiwan

    This special session aims to exhibit the latest research achievements, findings, and ideas in the areas of “Robotic and Computer Assisted Surgery”. Papers are welcomed on topics that are related to assistive technologies for medical interventions and innovative surgical techniques including, but not limited to: Surgical robotics, Medical navigation, Augmented reality, Medical 3D printing, Image processing, Force or visual servoing, Orthopaedy, Craniotomy, Spinal surgery, Prosthesis, etc.
    Selected papers will be published in a special issue of the Journal of Medical Robotics Research 

     


  • Special session, Wearable devices for training and rehabilitation
    Organizers:
    Lotfi Romdhane, University of Sousse, TN/American University of Sharjah, UAE
    Said Zeghloul, University of Poitiers, France
    Abdelfattah Mlika, University of Sousse, Tunisia

    Med Amine Laribi, University of Poitiers, France
    Abdelbadiâ Chaker, University of Sousse, Tunisia

    The emergence of wearable devices has catalyzed new topics of research and development, characterized by a keen focus on enhancing technical aspects, especially in the domains of training, performance assessment, and rehabilitation applications. In training, research focuses on optimizing biometric sensors and equipment for precision and comfort combined with advanced algorithms enabling real-time data analysis and personalized training programs. Furthermore, performance assessment sees ongoing transformation, with advanced sensor technology and augmented reality interfaces for predictive models, helping coaches and athletes. This Special Issue aims to showcase the latest research accomplishments, findings, and concepts in the areas of wearable devices, specifically focusing on optimal design, sensor integration and AI based approaches for training and rehabilitation purposes.
    Selected papers will be published in a special issue of the Wearable Technologies


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