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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

Prof. Dr. Martina Spiess, Andreas Luft

Deputy Projectlead

Prof. Dr. Verena Klamroth-Marganska

Project team

Lena Sauerzopf, Prof. Dr. Alexandre de Spindler, Dr. Elena Gavagnin, Benjamin Kühnis, Josef Schönhammer, Tim Unger

Project partners

Universitätsspital Zürich USZ

Project status

completed, 10/2021 - 06/2024

Institute/Centre

Institute of Occupational Therapy (IER); Institute of Business Information Technology (IWI)

Funding partner

Digitalisierungsinitiative der Zürcher Hochschulen DIZH / Innovationsprogramm

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