Foot Arch Posture Classification using Image Processing
รหัสดีโอไอ
Creator Wudhichart Sawangphol
Title Foot Arch Posture Classification using Image Processing
Contributor Thanapon Noraset, Pilailuck Panphattarasap, Pisit Praiwattana, Praphawarin Sutthiratpanya, NuengnuchTalanon, Kamolluk Tungsupanich , Danu Prommin
Publisher Faculty of Engineering and Technology, Mahanakorn University of Technology
Publication Year 2564
Journal Title Journal of Information Science and Technology
Journal Vol. 11
Journal No. 1
Page no. 75-82
Keyword Image Processing, Foot Arch, Information Technology, Arch Index, Personalized insole
URL Website https://tci-thaijo.org/index.php/JIST
Website title Journal of Information Science and Technology
ISSN 2651-1053
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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