PolyU researchers led by Prof. Joanne Yip have unveiled an image-recognition-based anthropometric system that tracks soft-tissue deformation during motion with ≤ 2.4 mm error, couples it to a Boussinesq analytical model and links garment pressure to tissue response. Validated on sports leggings and readily plugged into everyday CAD/CAM workflows, the low-cost, motion-capture-free technology gives designers and medical manufacturers a data-driven route to personalize compression sportswear and clinical garments for better fit, performance and injury prevention.