Detecting Pediatric Foot Deformities Using Plantar Pressure Measurements: A Semisupervised Approach

Authors

K. Ramakrishna Kini, Manipal Academy of Higher Education
Muddu Madakyaru, Manipal Academy of Higher Education
Fouzi Harrou, King Abdullah University of Science and Technology
Ying Sun, King Abdullah University of Science and Technology

Document Type

Article

Publication Title

IEEE Design and Test

Abstract

This article presents a semisupervised machine learning approach to identify pediatric foot deformities using foot plantar pressure measurements. It synergistically combines the benefits of PCA for feature extraction and the Kantorovich distance to handle deformities.

First Page

61

Last Page

68

DOI

10.1109/MDAT.2023.3234224

Publication Date

8-1-2023

Recommended Citation

Ramakrishna Kini, K.; Madakyaru, Muddu; Harrou, Fouzi; and Sun, Ying, "Detecting Pediatric Foot Deformities Using Plantar Pressure Measurements: A Semisupervised Approach" (2023). Open Access archive. 8018.
https://impressions.manipal.edu/open-access-archive/8018