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A Deep-Learning Approach for Foot-Type Classification Using Heterogeneous Pressure Data.

Jonghyeok Chae1, Young-Jin Kang2, Yoojeong Noh1

  • 1School of Mechanical Engineering, Pusan National University (PNU), Busan 46290, Korea.

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|August 16, 2020
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This study developed an objective foot deformation classification model using image and foot pressure data. The model accurately classifies foot types, improving diagnosis and aiding in foot healthcare product design.

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arch indexfine-tuned VGG16heterogeneous pressure datak-NNstacking ensemble

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Area of Science:

  • Biomechanics
  • Medical Imaging
  • Machine Learning

Background:

  • Foot deformities can arise from intrinsic factors or poor posture, leading to pain and health issues.
  • Current diagnostic methods for foot deformities often lack objectivity and require specialized expertise.
  • There is a need for an objective and reliable model for classifying foot types and deformities.

Purpose of the Study:

  • To develop an objective classification model for foot types using heterogeneous data.
  • To enhance the accuracy and robustness of foot deformation diagnosis.
  • To provide a foundation for the analysis and design of foot healthcare products.

Main Methods:

  • Utilized a combination of image and numerical foot pressure data.
  • Developed fine-tuned Visual Geometry Group-16 (VGG16) and K-nearest neighbor (k-NN) models.
  • Implemented a stacking ensemble model to integrate predictions from individual models.

Main Results:

  • The ensemble model demonstrated superior performance compared to single-data models.
  • Achieved high accuracy and robustness, verified by k-fold cross-validation (mean f1 score: 0.9255, std dev: 0.0042).
  • The proposed method offers objective diagnosis for foot deformation.

Conclusions:

  • The developed model provides an objective approach to diagnosing foot deformities.
  • The model's performance surpasses that of models using only image or numerical data.
  • This technology can significantly contribute to the development of foot healthcare solutions.