AI Mobility Assessment Using 3D Skeleton Modeling for Real-Time Coaching

The patent replaces manual exercise form assessment with computer vision-based automated analysis. A camera captures video of the user performing exercises, and AI algorithms automatically analyze the video frames to detect body pose, joint angles, and movement patterns, substituting human mechanical assessment with optical-digital processing to achieve precise workout correctness evaluation.

The patent introduces video analysis technology as an intermediary between the user's physical movement and the fitness application's assessment system. The camera and AI algorithms serve as mediators that capture, process, and interpret movement data, enabling the application to assess workout correctness without direct human intervention while maintaining high measurement precision.

The patent implements real-time feedback by continuously analyzing video frames during exercise execution and providing immediate corrective guidance. The system processes video input in real-time, detects deviations from proper form, and delivers instant feedback to the user, eliminating the time loss associated with delayed or post-exercise assessment while maintaining ease of operation through automated monitoring.

The patent ensures continuous exercise guidance and feedback by maintaining constant video analysis throughout the workout routine. Rather than providing intermittent or post-exercise feedback, the system continuously monitors movement quality and provides ongoing real-time corrections, eliminating gaps in guidance and maintaining the useful action of feedback delivery throughout the entire exercise session.

The patent segments the complex task of mobility assessment into distinct processing stages: video capture, frame-by-frame analysis, 3D skeleton model generation, joint angle calculation, and range of motion determination. By dividing the computational process into manageable segments, the system achieves high measurement precision through detailed 3D modeling while reducing overall processing complexity through structured, modular computation.

The patent transitions from 2D video frames to 3D skeleton models, adding a spatial dimension to the analysis. This dimensional transformation enables more accurate mobility assessment by capturing depth information and three-dimensional joint positions, while the use of standardized 3D coordinate systems and mathematical models manages the computational complexity of processing multi-dimensional data.