Towards Engaging Upper Extremity Motor Dysfunction Assessment Using Augmented Reality Games
Marina Cidota (TU Delft - System Engineering)
Stephan Lukosch (TU Delft - System Engineering)
Paulina J.M. Bank (Universiteit Leiden)
P.W. Ouwehand (Universiteit Leiden)
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Abstract
Advances in technology offer new opportunities for a better understanding of how different disorders affect motor function. Our aim is to explore the potential of augmented reality (AR) using free hand and body tracking to develop engaging games for a uniform, cost-effective and objective evaluation of upper extremity motor dysfunction in different patient groups. Based on the insights from a study with 20 patients (10 Parkinson’s Disease patients and 10 stroke patients) who performed hand/arm movement tasks in AR, we created a set of different augmented reality games for upper extremity motor dysfunction assessment.