Digital Foot Models from Sensor Data for Improved Orthopedic Aid Fitting

30 September 2023, Version 1

Abstract

This report describes and develops different methods for converting 3D time series data to surface representations. The considered methods contain public domain mesh generation software, as well as linear regression models and surface representations using signed distance functions. We provide a simple code base for the latter two methods such that they can be used for further research in a simple manner. We apply and test the algorithms on a point cloud for a foot model. All methods yield good representations of the underlying foot geometry. Such algorithms can therefore have a big impact on handling foot problems.

Content

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.