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

K. Ramakrishna Kini,Muddu Madakyaru,Fouzi Harrou,Ying Sun

IEEE Design & Test（2023）

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摘要

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.

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关键词

Semi-supervised learning,Pressure measurement,Principal component analysis,Computational modeling,Machine learning,Mathematical models,Feature extraction,Pediatrics,Foot,Foot deformities,plantar pressure sensors,anomaly detection,unlabeled data,kernel PCA,Kantorovich Distance

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