English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

A detailed understanding of foot morphology can enable the design of morecomfortable and better fitting footwear. However, foot morphology varies widelywithin the population, and changes dynamically during the loading of stancephase. This study presents a parametric statistical shape model from 4D footscans to capture both the inter- and intra-individual variability in footmorphology. Thirty subjects walked on a treadmill while 4D scans of their rightfoot were taken at 90 frames-per-second during stance phase. Each subject'sheight, weight, foot length, foot width, arch length, and sex were alsorecorded. The 4D scans were all registered to a common high-quality foot scan,and a principal component analysis was done on all processed 4D scans.Elastic-net linear regression models were built to predict the principalcomponent scores, which were then inverse transformed into 4D scans. The bestperforming model was selected with leave-one-out cross-validation. The chosenmodel was predicts foot morphology across stance phase with a root-mean squarederror of 5.2 +/- 2.0 mm. This study shows that statistical shape modeling canbe used to predict dynamic changes in foot morphology across the population.The model can be used to investigate and improve foot-footwear interaction,allowing for better fitting and more comfortable footwear.

Dynamic foot morphology explained through 4D scanning and shape modeling