Automated Neuromuscular Assessment with Robotics + CV
Marker-free 3D hand pose estimation and closed-loop feedback in unsupervised rehabilitation sessions, mediated by Socially Assistive Robots.
A non-invasive system for automating standardized neuromuscular tests using Socially Assistive Robots (SAR) as the patient-facing interface and computer vision as the measurement layer.
What I’m building
- Computer vision pipelines (Python / OpenCV) for 3D hand pose estimation that quantify fine motor deficits without markers.
- Closed-loop algorithms that generate real-time feedback to patients during unsupervised rehabilitation sessions.
- Integration of SAR with the perception stack so that the assessment runs end-to-end without a clinician in the loop.