Layering stretchable and rigid materials and incorporating machine learning improves accuracy of wearables

Researchers at Yokohama National University have developed a stretchy, high-precision measurement wearable device that combines soft polymer materials and rigid electronic elements. This device can accurately measure inertial data even if it extends up to 2.5 times its length.

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