Tele-Assessment: Leveraging Deep Learning to Assess Upper Limb Kinematics after Stroke with Off-the-shelf Webcams
Description
We are developing and validating a camera-based compensation classifier ("3C") for tele-neurorehabilitation to distinguish normal arm movements from those with compensation. The algorithm can be used with a webcam alone or in combination with an inertial measurement unit (IMU). This method improves tele-rehabilitation and increases the recovery process of clients.
Key Data
Projectlead
Andreas Luft, Prof. Dr. Martina Spiess
Deputy Projectlead
Prof. Dr. Verena Klamroth-Marganska
Project team
Dr. Elena Gavagnin, Benjamin Kühnis, Lena Sauerzopf, Josef Schönhammer, Tim Unger, Prof. Dr. Alexandre de Spindler
Project partners
Universitätsspital Zürich
Project status
completed, 10/2021 - 06/2024
Funding partner
Kanton Zürich / Digitalisierungsinitiative DIZH (Innovationsprogramm)