Tele-Assessment: Leveraging Deep Learning to Assess Upper Limb Kinematics after Stroke with Off-the-shelf Webcams
At a glance
- Project leader : Martina Spiess
- Deputy of project leader : Verena Klamroth-Marganska
- Project team : Elena Gavagnin, Lena Sauerzopf, Alexandre de Spindler
- Project status : ongoing
- Funding partner : Public sector (excl. federal government) (Kanton Zürich / Digitalisierungsinitiative DIZH (Innovationsprogramm))
- Project partner : Universitätsspital Zürich
- Contact person : Verena Klamroth-Marganska
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.