Data-Driven Classification of Human Movements in Virtual Reality-Based Serious Games
To overcome the challenge of sustained engagement in telerehabilitation, we propose a virtual reality, citizen science–based approach in which patients perform scientific tasks by using immersive, interactive interfaces and help advance scientific causes of their choice. This study aims to present a novel methodology to facilitate the remote identification and classification of human movements for the automatic assessment of motor performance in telerehabilitation. Our findings lay the foundation for the development of motion analysis algorithms in VR-mediated telerehabilitation.
Oct 2, 2022
