FlexiTrace

Challenge

Bring biomechanics lab capabilities to iOS devices to make motion capture and analysis accessible, portable, and affordable for therapists and individuals, while maintaining accuracy and user-friendly design. Overcome challenges with implementing new AI models, such as YOLO, to ensure real-time precision and performance.

Solution

• AR/AI Integration: Developed real-time motion tracking features using ARKit and advanced AI models, such as YOLO, to analyze joint movements, angles, and velocities.

• Overcoming AI Challenges: Addressed challenges with integrating complex AI models by optimizing YOLO for mobile performance and ensuring low latency during real-time motion analysis.

• User-Centric Design: Designed an intuitive, mobile-responsive interface for therapists, fitness professionals, and end-users to easily interact with motion analysis tools.

• Comprehensive Reporting: Implemented detailed visual reports with graphs, charts, and comparative analysis for actionable insights.

• Accuracy Validation: Compared app-generated results with real biomechanics lab data and continuously refined the algorithms to achieve lab-grade accuracy.

• Data Security: Incorporated encrypted storage and export functionality to ensure privacy and compliance with healthcare standards.

Results

• Successfully implemented AI models, overcoming significant challenges to deliver real-time, accurate motion capture and analysis.

• Enabled cost-effective, portable biomechanics analysis, removing reliance on expensive lab equipment.

• Achieved results closely aligned with real biomechanics lab data, earning trust from healthcare professionals.

• Positive adoption by physical therapists and biomechanics experts due to accuracy and ease of use.

• Increased user engagement with gamified exercises and real-time analytics.

• Garnered positive feedback from users regarding usability, functionality, and overall experience.