Design and Implementation of Deep Learning-Based Body Imbalance Diagnosis System by Shoe Outsole Abrasion

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JIITA, vol.6 no.1, p.535-537, 2022, DOI: 10.22664/ISITA.2021.6.1.535

Hangyu Hong ¹⁾, Minuk Jeong ²⁾ Yoosoo Oh ^3,*)

^{1) 2) 3)} School of Artificial Intelligence, Daegu University, Gyeongasn-si, Republic of Korea

Abstract: This paper proposes a body imbalance diagnosis system. The proposed system was learned through the CNN algorithm. The proposed system accepts outsole pictures from a user. The picture is classified as normal and both sides of inside abrasion and outside abrasion. The classification result is used to diagnose normal and left and right body imbalances. The proposed model has an accuracy of 80.2%.

Keywords: Shoe abrasion, Body Imbalance, CNN

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