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Abstract Introduction: Accurate and continuous prediction of multi-planar lower-limb joint moments is crucial for clinical rehabilitation, sports science, and assistive device design. However, gold-standard methods rely on bulky, expensive laboratory-bound equipment, and existing wearable solutions are often limited to single-joint or single-plane predictions, or require dense sensor arrays impractical for daily living.
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