This invention describes a system that uses special clothing, like sleeves for arms or legs, embedded with multiple sensors. These sensors are placed around a user's joints to capture detailed movement data in multiple directions. The system can also use a person's height and waist size to better understand their unique body movements.
Why it matters: Since 2016, advancements in miniaturized, low-power wearable sensors and embedded processing have made multi-sensor garment integration more practical. Machine learning algorithms for biomechanical analysis have also matured, improving the accuracy of gait interpretation and user-specific modeling.
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