An exergame system based on force platforms and body key-point detection for balance training

Area of Science:

• Rehabilitation Engineering
• Human-Computer Interaction
• Biomechanics

Background:

• Postural instability significantly impacts daily activities and necessitates effective therapeutic interventions.
• Existing balance training methods can be enhanced with engaging, technology-driven approaches.
• Exergames offer a promising avenue for improving patient motivation and adherence in rehabilitation.

Purpose of the Study:

• To develop and validate a novel exergame system for balance training.
• To integrate force platforms and computer vision for comprehensive posturographic assessment.
• To enhance patient engagement and motivation during balance rehabilitation through gamification.

Main Methods:

• The system employs two force platforms (feet and hip) and a computer vision module for real-time marker-based key-point detection.
• Load cells and a microcontroller acquire data, transmitting it to a computer for analysis.
• Experiments involved 20 neurologically intact volunteers performing stabilometric tests and exergames.

Main Results:

• The proposed system demonstrated full functionality in capturing posturographic data.
• Validation against a commercial baropodometer confirmed the accuracy of stabilometric parameters.
• Participants successfully engaged with the implemented exergames, indicating system usability.

Conclusions:

• The developed exergame system is a functional and versatile tool for balance training.
• The integration of gamification principles enhances patient motivation and engagement in rehabilitation.
• This technology holds potential for improving outcomes in individuals with postural instability.