Browsing Computer Graphics & Visual Computing (CGVC) 2023 by Subject "Applied computing"

Now showing items 1-5 of 5

    • AUPE: An Emulator for the ExoMars PanCam Instrument 

      Ladegaard, Ariel; Gunn, Matt; Miles, Helen C.; Tyler, Laurence (The Eurographics Association, 2023)
      The European Space Agency's ExoMars mission will be the first European-led planetary rover mission and much preparation and rehearsal is required, both for the personnel involved and the data processing pipelines and ...

    • Automatic Balance Assessment Using Smartphone and AI 

      Sganga, Magalí; Rozmiarek, Patrycja; Ravera, Emiliano; Akanyeti, Otar; Povina, Federico Villagra (The Eurographics Association, 2023)
      Postural control assessment is essential for understanding human biomechanics in both static and dynamic situations. The relationship between the center of mass (CoM), center of pressure (CoP), and the base of support (BoS) ...

    • Immersive WebXR Data Visualisation Tool 

      Ogbonda, Ebube Glory (The Eurographics Association, 2023)
      This paper presents a study of a WebXR data visualisation tool designed for the immersive exploration of complex datasets in a 3D environment. The application developed using AFrame, D3.js, and JavaScript enables an ...

    • Towards Ceramics Inspired Physiotherapy for Recovering Stroke Patients 

      Hajzer, Sándor P.; Jones, Andra; Jones, David E.; Miles, Helen C.; Ellis, Victoria; Povina, Federico V.; Sganga, Magalí; Swain, Martin T.; Bennett-Gillison, Sophie (The Eurographics Association, 2023)
      People prescribed physiotherapy exercises can struggle to engage with exercises due to a lack of mental stimulation in the repetitive tasks. The introduction of VR to motion-based physiotherapy can be beneficial, however, ...

    • Using The Barnes-Hut Approximation for Fast N-Body Simulations in Computer Graphics 

      Dravecky, Peter; Stephenson, Ian (The Eurographics Association, 2023)
      Particle systems in CG often encounter performance issues when all the particles rely on mutual influence, producing an O(N2) performance. The Barnes-Hut approximation is used in the field of astrophysics to provide ...