Upper and Lower Limb Training Evaluation System Based on Virtual Reality Technology.

Area of Science:

• Rehabilitation Medicine
• Virtual Reality Technology
• Human-Computer Interaction

Background:

• Traditional rehabilitation training faces challenges including high costs, low patient engagement, and insufficient real-time feedback.
• Effective upper and lower limb rehabilitation is crucial for restoring physical movement, muscle strength, and coordination.

Purpose of the Study:

• To design and implement a virtual reality (VR)-based rehabilitation training evaluation system to enhance the quality of patient rehabilitation.
• To address the limitations of traditional rehabilitation methods by creating an immersive and interactive training environment.

Main Methods:

• Utilized Kinect 2.0 and Leap Motion sensors for capturing patient motion data.
• Developed multiple VR training scenes tailored for upper and lower limb movements, with a specific focus on hand function.
• Integrated real-time feedback mechanisms based on movement accuracy within the VR environment.

Main Results:

• Patients using the VR system demonstrated higher participation rates and improved rehabilitation training effects.
• Significant improvements in movement accuracy and training engagement were observed in patients using the VR system compared to traditional methods.
• The system successfully provided personalized treatment information to medical personnel through data collection and analysis.

Conclusions:

• The developed VR rehabilitation training evaluation system enhances rehabilitation quality and promotes systematized, personalized patient care.
• The system offers innovative potential for application in rehabilitation medicine, improving patient outcomes and providing valuable data for clinicians.