In this talk, I will present recent work using robotics and markerless motion capture to assess and train proprioception with precision and clinical scalability. I will first discuss findings from a randomized controlled trial showing that tailored robotic proprioceptive training improves both hand function and sensory processing in stroke survivors with proprioceptive deficits. These results highlight the critical role of sensory-based interventions in promoting motor recovery. Building on this foundation, I will describe ongoing efforts to develop accessible, markerless motion capture approaches—including webcam-based assessments—that translate laboratory measures of proprioception into clinically practical tools. Together, this work aims to advance more precise and individualized approaches to rehabilitation through improved assessment and targeted proprioceptive training.
An Zoom-Meeting teilnehmen
tum-conf.zoom-x.de/j/66266150589
Meeting-ID: 662 6615 0589
Kenncode: 992300