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​​ (www.bemobil.net).

 

 

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

 ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​ ​​​​ 

 

 

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