This project is related to the previous research project Ergonomic Design of Footwear in which an AI-based framework integrating foot biomechanics, dynamic 4D foot anthropometry, material analysis and AI algorithms for adults with diabetes was developed in the 1st five-year period. By employing AI-driven predictions from simple footprint images, this method eliminates the need for costly sensors and repeated tests. The proposed project significantly advances these innovations by focusing on sports insoles. It will incorporate dynamic foot scanning, deep learning, and finite element models to enhance personalised insole designs for athletes.

Using cutting-edge optical 3D camera technology, the project team will analyse foot and footwear strain, providing tailored, sports-specific foot support, comfort, and performance.  This approach addresses the unique anatomical and biomechanical needs of each athlete. The AI-based insole design system includes AI algorithms, design processes, and manufacturing techniques, transitioning from the research and development phase to practical market applications.

 

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Principal Investigator
Prof Kit-lun YICK

Collaborating Investigator
Dr Sabrina Pui Ling LI
Dr Elif OZDEN YENIGUN