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SkyDome - Adaptive Physical Rehabilitation in XR

SkyDome - Adaptive Physical Rehabilitation in XR

Award-winning XR rehabilitation platform developed with Northeastern University, MIT, and Massachusetts General Hospital/Harvard. Transforms physical therapy through immersive virtual environments that adapt to patient needs in real-time.

Tech Stack & Skills

Platforms & Engines

Unity

Languages

C#

XR/Hardware

OculusVRXR

Tools & Services

ArcGISBlender

Domain

HealthcareRehabilitation

Project Details

TimelineApril 2024
Status
Published
⭐ Featured Project
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Award-winning XR rehabilitation platform developed with Northeastern University, MIT, and Massachusetts General Hospital/Harvard. Transforms physical therapy through immersive virtual environments that adapt to patient needs in real-time.

Technical Implementation

Core Systems:

  • Adaptive Difficulty Engine: Real-time performance analysis dynamically adjusts exercise intensity based on patient biometrics and motion data
  • Full-body IK Tracking: Custom inverse kinematics system validates therapeutic movements with clinical accuracy
  • Therapist Dashboard: Remote monitoring interface with live progress visualization and program adjustment capabilities
  • Data Pipeline: HIPAA-compliant analytics infrastructure processing motion capture and therapeutic assessment metrics

Key Achievements:

  • Maintained 90fps performance for extended sessions with optimized rendering pipeline
  • Integrated ArcGIS photospheres for location-based therapeutic environments
  • Built cloud-synchronized progress tracking across devices
  • Implemented accessibility features supporting diverse mobility levels

Impact & Results

  • Clinical Deployment: Successfully implemented in rehabilitation centers for patient trials
  • Improved Outcomes: Increased patient engagement and exercise consistency, reducing average recovery time
  • Pandemic Response: Enabled remote therapy sessions when in-person care was unavailable
  • Data Generation: Produced valuable motion datasets for therapeutic research and assessment

Technical Challenges

Multi-level Accessibility: Built configurable exercise system with granular difficulty adjustments to accommodate post-stroke patients, joint injuries, and varying mobility ranges.

Therapeutic Accuracy: Implemented multi-sensor calibration with validation algorithms and therapist override to ensure clinically accurate motion tracking.

Long-term Engagement: Designed gamification system with progressive achievements and immersive virtual destinations (forests, beaches, mountains) where the environment lights up with patient progress.

Healthcare Compliance: Architected end-to-end HIPAA-compliant infrastructure with encrypted storage, secure transmission, and comprehensive audit logging.

Acknowledgements

🏆 Winner - Northeastern University's 2021 RISE Awards

Research Collaboration: Northeastern University • MIT • Massachusetts General Hospital/Harvard Medical School

Special thanks to Dr. Casper Harteveld for his mentorship throughout this project.

Note: Repository unavailable due to ongoing research NDA