Researchers at the Hong Kong Polytechnic University (PolyU) have developed an innovative anthropometric method designed to deliver precise measurements that enhance the design and efficacy of compression garments.
This cutting-edge technique addresses the problem of soft tissue movement during physical activities, which can influence the fit and comfort of clothing, particularly in sportswear and medical garments, according to the research team.
Utilizing image recognition algorithms, the method accurately assesses tissue deformation with minimal error caused by movement.
The project, spearheaded by Professor Joanne Yip from the School of Fashion and Textiles, also includes a predictive analytical model for tissue deformation.
This new model employs the Boussinesq solution, grounded in elastic theory and stress function methodologies, as explained by the researchers.
By integrating image recognition algorithms, the innovation enables precise quantification of how tissues deform during physical activity.
The researchers emphasize that traditional measurement techniques often overlook deformation, especially while the body is in motion, leading to ill-fitting garments that compromise functionality.
The team stated that their approach “addresses the issue by minimizing motion artifacts and establishing a systematic framework to connect garment pressure with tissue response, which is crucial for optimizing the biochemical efficacy of wearables.”
Moreover, incorporating mechanical property testing into the new method allows for accurate predictions of tissue deformation.
Comparative tests between this technique and standard body scanning measurements showed discrepancies as small as 1.15mm under static conditions and 2.36mm during physical movement. These findings furnish designers with highly reliable data on soft tissue deformation.
Professor Joanne Yip remarked, “Our technology is extremely adaptable to compression garments, including sportswear like leggings and functional medical wear such as compression stockings and post-surgical garments. The analytical model can be customized for various garment types by modifying parameters like material properties and circumferential dimensions.”
Through testing, different materials, designs, and sizes of sports leggings revealed how these factors influence fit and performance.
This framework advances biomechanical simulation techniques for wearable technology and provides a “practical tool” for enhancing the ergonomics of sportswear.
It empowers designers to develop compression garments based on empirical data, potentially improving athletic performance and decreasing injury risks.
The new technology is not only effective and economical but can also be seamlessly integrated into existing CAD/CAM systems, facilitating prototyping and reducing reliance on trial-and-error methods, according to the team.
The research titled “A Novel Anthropometric Method to Accurately Evaluate Tissue Deformation” has been published in the journal Frontiers in Bioengineering and Biotechnology.
