Integrated System for Comprehensive Flexibility Assessment and Visualization

This system offers a new way to capture and model flexibility across the entire body using sensors and digital analysis tools. By collecting position and motion data from multiple joints, the system generates a “flexibility envelope,” a 3D (or time-based 4D) visualization of an organism's range of motion across various regions and postures. The flexibility envelope reflects both active flexibility (how far someone can move on their own) and passive flexibility (how far a limb can be moved by an external force, such as a therapist or device). These insights are compiled into a structured, visual model that updates with use and provides clinicians or users with precise information about mobility, progress, and limitations.

Background: 
Current flexibility tests, such as goniometer-based joint angles or physical assessments, provide fragmented and often subjective information. They lack scalability, repeatability, and insight into how flexibility in one area may affect others. This system moves beyond single-joint evaluations by using wearable or room-based sensors to monitor multiple body parts simultaneously and represent motion in all spatial directions. It also accounts for physiologic or emotional influences, such as stiffness caused by stress or fatigue, which may affect true flexibility. By providing continuous, objective data, this system enhances how flexibility is understood, measured, and improved.

Applications: 

• Physical therapy programs targeting range-of-motion recovery
• Sports science and flexibility training (e.g., gymnastics, dance, yoga)
• Elder care and mobility maintenance to delay physical decline
• Stress, ergonomic, or neuropsychological evaluation contexts

Advantages: 

• Maps full-body range-of-motion with high spatial and temporal resolution
• Differentiates between self-directed and assisted flexibility
• Detects subtle changes due to injury, rehabilitation, or conditioning
• Considers physical and emotional states that affect mobility
• Enables longitudinal tracking and visual progress monitoring