Journal of Information Science and Technology (JIST)
Wudhichart Sawangphol (1), Thanapon Noraset (1), Pilailuck Panphattarasap (1), Pisit Praiwattana (1), Praphawarin Sutthiratpanya (1), Nuengnuch Talanon (1), Kamolluk Tungsupanich (1), Danu Prommin (2)
- Faculty of ICT, Mahidol University, Nakhon Pathom, Thailand
- National Metal and Materials Technology Center, Thailand
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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