Publications by authors named "Zairan Li"
Article Synopsis
- - This study presents a new neural network called a level-set self-organizing map (LS-SOM) aimed at customizing shoe lasts using plantar pressure imaging data to improve comfort for users, particularly those with high blood pressure.
- - To address the issue of over-segmentation in images, the researchers developed a domain-based segmentation model and optimized parameters within their domain growth algorithm for better performance.
- - The proposed method showed significant enhancements in accuracy metrics compared to previous methods, allowing for the optimal design of shoe lasts and ultimately improving wearing comfort.
Lasts are foot-shaped forms made of plastic, wood, aluminum, or 3D-printed plastic. The last of a shoe determines not only its shape and style but also how well it fits and protects the foot. A weight-updated boosting-based ensemble learning (WUBEL) algorithm is presented in this paper to extract critical features (points) from plantar pressure imaging to optimize the shoe's last surface to satisfy a comfortable shoe's last surface optimization design.
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