Leveraging Deep Learning to Assess Upper Limb Kinematics after Stroke with Off-the-shelf Webcams
We develop and validate a camera-based compensation classifier (“3C”) for tele-neurorehabilitation to discriminate normal arm-movements from those with compensation. The algorithm can be used with a webcam alone or in combination with inertial measurement unit (IMU). This method enhances tele-rehabilitation and boosts the recovery process of the clients.
Dr. Martina Spiess, ZHAW Gesundheit, Institut für Ergotherapie
Lena Sauerzopf, ZHAW Gesundheit, Institut für Ergotherapie
Prof. Dr. med. Andreas Luft, UniversitätsSpital Zürich, Klinik für Neurologie
Dr. Elena Gavagnin, ZHAW School of Management and Law, Institut für Wirtschaftsinformatik
Practice partner
Dr. Josef Schönhammer, Lake Lucerne Institute & UniversitätsSpital Zürich, Klinik für Neurologie
Running time: 2021-2023