Researchers at The Hong Kong Polytechnic University (PolyU) have developed a groundbreaking method to precisely measure soft tissue deformation, a critical factor in the fit and performance of sportswear and functional medical wear. This innovation addresses a longstanding challenge in the apparel industry, where inaccurate measurements often lead to ill-fitting designs that compromise comfort and function.

Professor Joanne Yip, School of Fashion and Textiles pioneered a novel anthropometric method that uses image recognition algorithms to systematically assess tissue deformation while minimizing motion-related errors. She also created an analytical model based on elastic theory to predict how tissues will deform under pressure. This approach provides designers with highly accurate, data-driven insights into how garments interact with the body, which is vital for optimizing the performance and biochemical effectiveness of compression-based apparel.

Soft tissue deformation directly impacts everything from a garment's appearance and comfort to its physiological effects, such as blood circulation and muscle support. By integrating mechanical property testing, the new method accurately predicts tissue deformation. When validated against body scans, the measurements showed remarkable precision, with deviations of just 1.15 mm in static conditions and 2.36 mm during movement.

This technology is highly adaptable to compression-based garments including sportswear like leggings and functional medical wear like compression stockings and post-surgical garments, says Professor Yip. She explains, the analytical model can be customized for different garment types by adjusting parameters such as material properties and dimensions.

The research team used various sportswear leggings as samples to test their method. The findings provide actionable insights that connect material properties to garment fit and performance. This new framework not only advances biomechanical simulation for wearable applications but also provides a practical tool for optimizing the ergonomics of sportswear. Ultimately, it enables the creation of data-driven compression garments that can enhance athletic performance and help prevent musculoskeletal injuries.