Adaptive Rehabilitation Bots in Serious Games

Area of Science:

• Rehabilitation Medicine
• Game Design
• Human-Computer Interaction

Background:

• Serious games are increasingly used in telerehabilitation, leveraging technologies like virtual reality (VR) and motion capture.
• Existing telerehabilitation serious games often lack personalization and adaptiveness to individual patient needs and performance levels.

Purpose of the Study:

• To introduce RehaBot, a novel framework for adaptive and personalized serious game generation in telerehabilitation.
• To enhance patient engagement and therapeutic outcomes through customized and adaptive gaming experiences.

Main Methods:

• Developed a personalized gaming platform featuring "Rehab bots" (virtual assistants) using 3D motion tracking and VR environments.
• Implemented a real-time difficulty adjustment technique correlating patient motion with precalculated patterns.
• Provided multimodal feedback on joint performance and suggested improvements.

Main Results:

• A clinical study with chronic neck pain patients demonstrated the usability and effectiveness of the RehaBot system.
• Patients using the adaptive serious gaming platform reported high engagement and accuracy in performing prescribed therapies.
• The game-based solution was found to be an effective adjunctive online physiotherapy approach.

Conclusions:

• RehaBot offers a personalized and adaptive approach to serious games in telerehabilitation, addressing limitations of current solutions.
• The framework enhances patient engagement and therapeutic accuracy through intelligent virtual assistants and real-time adjustments.
• The study validates the potential of adaptive serious gaming for remote physiotherapy and chronic pain management.