Motion Capture for Rehabilitation


During my time as research associate​​ at Fraunhofer IPK, I worked​​ in​​ various motion capture projects in the public funded​​ BMBF-integrated project BeMobil​​ (



Markerless Visual MoCap of Upper Extremities


  • Development of a soft real-time​​ Multi-Leap-Camera setup for​​ hand​​ tracking​​ used for​​ VR-Mirror-therapy​​ for​​ rehabilitation of stroke patients

  • 42-dimensional​​ personalized hand model with adaptive bone length

  • Skeleton data fusion for hand pose optimization




Upper Body Tracking


  • Development of upper body tracking algorithms for rehabilitation

  • Microsoft Kinect V2 based upper body tracking

  • ICP based upper body​​ tracking

  • Articulated-ICP based upper body tracking

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MoCap of Lower Extremities


Markerless MoCap of Lower Extremities


  • Development of markerless lower body tracking for gait analysis with single RGB-D camera on treadmill

  • Tracking​​ with a PCA based body segment clustering approach

  • Applied in a Biofeedback-Tracking System for rehabilitation of stroke patients


Marker based MoCap of Lower Extremities