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
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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
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Marker based MoCap of Lower Extremities |
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