Projects
Development and validation of an ambulatory 3D motion capture based model to assess trunk performance and locomotion after stroke. University of Antwerp
InLocoMotion: Dynamic 3D human body shapes from static 3D scans and sparse motion tracking for the improvement of human-product systems: a case on cycling drag force estimation University of Antwerp
Integrated Research UNit for human Motion Analysis (iRUNman) Ghent University
iRUNman unites research groups with a background of sport and movement sciences, engineering and embodied music cognition. The project couples an infrastructure investment (3D motion capture, instrumented treadmill,U+2026) to a research program on human locomotor activities. The pooling of the complementary background of all researchers involved, makes iRUNman a true incubation centre on multidisciplinary studies on human movement and ...
Invariant Representations of Rigid-body Motion Trajectories with Application to Motion Recognition and Robot Learning by Demonstration KU Leuven
Future robots are expected to operate in unpredictable and changing environments, not only in industry but also in domestic settings and in health care. These environments furthermore require a close interaction and collaboration with humans. To understand human motions and to successfully generate motions according to the changing state of the environment, an internal representation of the motion is required in the form of a motion model. ...
Deep learning for automated movement analysis using motion capture: Case studies on detecting and assessing gait impairments in people with Parkinson's disease and freezing of gait KU Leuven
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Parkinson's disease (PD) is a common neurodegenerative disorder, affecting an estimated 6 million people worldwide. PD causes degeneration of dopamine-generating neurons, which leads to progressively worsening gait impairments. One of the most debilitating gait impairments is freezing of gait (FOG). FOG is common in PD and is defined as a "brief, episodic absence or marked reduction of forwarding ...
m-MALL: moving towards the next generation motion analysis research KU Leuven
A novel method for acquiring biomechanically accurate kinematics: skin-based motion analysis Ghent University
Motion analysis forms the cornerstone in multiple application domains, ranging from clinical diagnostics and biomechanics to the animation industry. To acquire kinematic information, optical motion capture is the gold standard. Here, the 3D motion of the unobservable skeleton is inferred from tracking the position of the reflective markers applied to the skin. Yet, the skin is not rigidly attached to the skeleton, introducing relative skin ...
An Image-based Musculoskeletal Modeling Platform For Simulation-based Evaluation Of Vertebral Motion In Adult Spinal Deformity KU Leuven
Adult Spinal Deformity (ASD) has been identified in 68 % of the population older than 60 years. It is caused by asymmetric degeneration of the spinal joints, inducing varying degrees of trunk deformity, with an impact on the quality of life even larger than arthritis, lung disease, diabetes and heart failure. Despite advances in instrumentation, diagnostic tools and surgical techniques, up to 70% of spinal deformity patients continue to ...