This technology is a computer vision-based software platform that enables real-time human movement analysis, providing physical therapists and trainers with objective feedback and progress tracking through a standard webcam.
Background: Traditional physical therapy and fitness training often rely on subjective visual assessments, which can limit the accuracy and consistency of movement analysis. Recognizing this challenge, the invention was developed to introduce an objective, data-driven solution that enhances motor learning and rehabilitation outcomes by leveraging advancements in computer vision and pose estimation technologies.
Technology Overview: This innovative software platform uses computer vision algorithms to analyze human movement in real time via a standard webcam. At its core, the system employs advanced pose estimation techniques, such as those found in open-source libraries like MediaPipe, to track joint angles and assess the quality of movements. By integrating theories of motor control and motor learning, the platform delivers precise feedback designed to optimize movement retraining, crucial for both rehabilitation and fitness improvement. The technology features automated repetition counting, detailed feedback on individual performance, and comprehensive summaries after each session, enabling users and professionals to monitor progress effectively. It supports use in both clinical environments and remote settings, offering accessibility and flexibility to a broad range of users. The platform's architecture primarily consists of newly developed code complemented by established video processing tools like OpenCV, ensuring robust performance and accuracy. Designed to address significant gaps in current physical therapy and fitness markets, this solution transforms subjective observations into actionable, evidence-based insights. Future enhancements include cloud-based scaling options and compatibility with health record systems and wearable devices, extending its applicability and integration within modern healthcare ecosystems.
https://suny.technologypublisher.com/files/sites/adobestock_1666031996.jpeg
Advantages: • Provides objective and precise movement analysis compared to subjective visual assessments. • Real-time feedback facilitates immediate correction and more effective motor learning. • Uses accessible hardware—a standard webcam—allowing broad adoption without specialized equipment. • Supports both clinical and remote use cases, enhancing flexibility and convenience. • Automated features such as repetition counting reduce manual tracking efforts. • Comprehensive post-session data assists in monitoring long-term progress and rehabilitation outcomes. • Incorporates scientifically grounded motor control theories to optimize movement retraining. • Future cloud integration promises scalability and seamless interoperability with health technologies.
Applications: • Physical therapy clinics for precise movement assessment and rehabilitation monitoring. • Fitness training environments where coaches can provide objective, data-driven feedback. • Remote rehabilitation programs enabling patients to perform exercises at home with professional oversight. • Sports performance analysis to optimize athletes' movement techniques and reduce injury risks. • Integration with wearable devices and electronic health records for comprehensive health management. • Research settings studying motor control and learning through consistent and repeatable movement data.
Intellectual Property Summary: Copyright, patents available
Stage of Development: TRL 6
Licensing Status: This technology is available for licensing.