Wearable Motion Sensing for Action Quality Evaluation

The patent transforms abstract performance parameters into concrete action quality metrics by changing the nature of the measured parameters. Instead of providing generic exercise data, the system calculates specific metrics including action consistency (comparing intended vs. actual motion), action stability (detecting jitter and wobble), action continuity (identifying interruptions), action variability (measuring intensity changes), and force control (assessing force application quality). This parameter transformation makes the feedback actionable and easier for users to understand and apply to improve their exercise form.

The patent segments the complex task of action quality evaluation into five distinct, independently calculable metrics: action consistency, action stability, action continuity, action variability, and force control. Each metric focuses on a specific aspect of motion quality and can be computed using dedicated algorithms. This segmentation reduces overall system complexity by breaking down the evaluation process into manageable modules, each handling a specific dimension of exercise quality assessment.

The patent creates a universal action quality evaluation system that functions across multiple exercise types without requiring exercise-specific customization. The same five metrics (consistency, stability, continuity, variability, and force control) are applied universally to different fitness activities such as strength training, cardio exercises, and flexibility routines. This multi-functional approach allows the system to adapt to various exercise types while maintaining consistent evaluation standards, reducing the need for separate processing pipelines for different workout categories.