Using Capability Maps Tailored to Arm Range of Motion in VR Exergames for Rehabilitation

Area of Science:

• Neurology
• Rehabilitation Medicine
• Virtual Reality Technology

Background:

• Neurological conditions like stroke often result in upper limb (UL) motor impairments, affecting daily activities.
• Traditional rehabilitation therapy is lengthy, demanding, and can lack patient engagement.
• Virtual reality (VR) offers engaging, game-like rehabilitation but often lacks personalized progress tracking and program adaptation.

Purpose of the Study:

• To develop a VR system capable of understanding and adapting to a user's physical capabilities and limitations for upper limb rehabilitation.
• To demonstrate the utility of personalized VR rehabilitation through specific use cases.
• To assess the system's ability to track and evaluate the use of specific UL joints during therapy.

Main Methods:

• Utilized arm kinematic modeling to create detailed user capability maps.
• Developed two use cases demonstrating the VR system's application of capability maps for tailored rehabilitation.
• Implemented assessment of specific UL joint usage within a VR rehabilitation scenario.

Main Results:

• The proposed VR system can generate a user-specific capability map based on arm kinematics.
• Demonstrated two distinct use cases for tailoring VR rehabilitation programs using these capability maps.
• Successfully assessed and emphasized the utilization of individual UL joints in one use case.

Conclusions:

• The VR-based system effectively personalizes rehabilitation tools to individual user capabilities and limitations.
• This approach has the potential to improve the engagement and efficacy of upper limb rehabilitation for neurological patients.
• The system provides a framework for adaptive VR therapy that can be refined based on real-time user performance.