Title :
Development of a low-cost, adaptive, clinician-friendly virtual rehabilitation system
Author :
Huber, Meghan E. ; Leeser, Miriam ; Sternad, Dagmar
Author_Institution :
Northeastern Univ., Boston, MA, USA
Abstract :
Despite its significant benefits, clinical adoption of virtual rehabilitation is slow. One reason is that current systems are typically constrained to providing therapy for one specific motor deficit with a limited number of pre-defined therapeutic game exercises. Any adjustments to these exercises require high-level programming knowledge beyond the therapists´ skill level. With our adaptive MATLAB-based VR system using the Microsoft Kinect, a clinician can easily develop therapeutic game exercises for in-home rehabilitation as well as in the clinical setting. By overcoming these limitations, our adaptive, clinician-friendly system is preparing the ground for widespread adoption of virtual rehabilitation in the future.
Keywords :
computer games; mathematics computing; medical computing; patient rehabilitation; patient treatment; virtual reality; Microsoft Kinect; adaptive MATLAB-based VR system; clinician-friendly virtual rehabilitation system; high-level programming knowledge; in-home rehabilitation; predefined therapeutic game exercises; therapy; Adaptive systems; Educational institutions; Games; Joints; Medical treatment; Programming; Software; MATLAB; Microsoft Kinect; clinician user experience; virtual rehabilitation;
Conference_Titel :
Virtual Rehabilitation (ICVR), 2013 International Conference on
Conference_Location :
Philadelphia, PA
DOI :
10.1109/ICVR.2013.6662093