By coupling a Boussinesq-based elastic model with a motion-corrected, image-recognition anthropometric pipeline, the study predicts and measures soft-tissue deformation beneath five compression leggings, achieving ≤ 2.36 mm deviation from scanned data under both static and dynamic conditions and giving designers an accurate tool to optimize garment fit and support.