Publication Details
Overview
 
 
Silvia Zaccardi, Anxhela Arapi, Taylor Frantz, Redona Brahimetaj, David Beckwée, Eva Swinnen, Bart Jansen
 

Unpublished contribution to conference

Abstract 

Low-cost, portable motion capture (MoCap) systems often lack the accuracy and real-time capabilities needed for clinical applications. To address these challenges, we present HoloMoCap [1], the first standalone MoCap application for HoloLens 2, enabling physiotherapists to receive real-time Augmented Reality (AR) feedback on patients{\textquoteright} movements. Leveraging Deep Learning (DL) and marker-based MoCap, HoloMoCap accurately estimates hip and knee angles, offering a practical solution for clinical motion analysis.

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