Foot Arch Posture Classification using Image Processing

Main Article Content

Wudhichart Sawangphol
Thanapon Noraset
Pilailuck Panphattarasap
Pisit Praiwattana
Praphawarin Sutthiratpanya
Nuengnuch Talanon
Kamolluk Tungsupanich
Danu Prommin

Abstract

The foot arch is a key role in supporting the weight of the body and providing propulsion force during push-off, it enables a more natural and aesthetic gait and protects the foot from injury. An effective way to prevent injuries caused by abnormal foot arches is to use suitable personalized insoles. Personalized insoles can reduce and relieve the pain that caused by abnormal of the foot arches, which can be difficult to make for each particular type. Current methods of analyzing foot arches are manual calculation, which is time consuming and prone to human error. Therefore, the objective of this study is to classify foot arches posture and determine different foot arch types based on the foot scan image by develop an application to improve the analysis of personalized insole. As the result, our foot arch type classification gives the satisfied result at 87.5% comparing to the data classified by expert.

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Article Details

How to Cite
[1]
W. Sawangphol, “Foot Arch Posture Classification using Image Processing”, JIST, vol. 11, no. 1, pp. 75-82, Jun. 2021.
Section
Research Article: Soft Computing (Detail in Scope of Journal)
Author Biographies

Thanapon Noraset, Mahidol University

 

 

Pilailuck Panphattarasap, Mahidol University

 

 

 

Pisit Praiwattana, Mahidol University

 

 

 

Praphawarin Sutthiratpanya, Mahidol University

 

 

 

Nuengnuch Talanon, Mahidol University

 

 

 

Kamolluk Tungsupanich, Mahidol University

 

 

 

Danu Prommin, National Metal and Materials Technology Center

 

 

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