Hand Rehabilitation Using a 3D Environment and Leap Motion Device.

Area of Science:

• Healthcare Informatics
• Rehabilitation Medicine
• Human-Computer Interaction

Background:

• Effective hand rehabilitation post-injury is crucial for patient recovery.
• Current methods may lack consistent patient monitoring and interactive feedback.
• Technological integration in rehabilitation offers potential for improved outcomes.

Purpose of the Study:

• To present a novel 3D healthcare informatics support system for hand rehabilitation.
• To leverage Leap Motion sensor technology for accurate gesture recognition in rehabilitation exercises.
• To enhance patient engagement and provide objective data for medical rehabilitation experts.

Main Methods:

• Development of a 3D application incorporating Leap Motion for gesture recognition.
• Integration of video demonstrations for guiding patients through hand exercises.
• Implementation of a feedback mechanism to assess exercise correctness.
• Establishment of a database for storing rehabilitation data.

Main Results:

• The application successfully recognizes patient hand gestures for rehabilitation exercises.
• It provides immediate feedback on the correctness of performed movements.
• Collected data enables consistent patient monitoring by medical rehabilitation experts.
• A usability plan is established to evaluate the system's efficiency and accuracy.

Conclusions:

• The developed 3D healthcare informatics system offers a promising tool for post-injury hand rehabilitation.
• The use of Leap Motion technology enhances the interactivity and precision of rehabilitation exercises.
• The system facilitates improved patient monitoring and data-driven clinical decision-making.