Open AccessIdentification of Foot Posture using Foot Posture Index-6 (FPI-6) based on Image Processing
Author(s) -
Hasya Azqia Hanifan,
Ledya Novamizanti,
Husnaeni Mukhtar
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/982/1/012011
Subject(s) - foot (prosody) , index (typography) , physical medicine and rehabilitation , identification (biology) , artificial intelligence , computer vision , computer science , medicine , art , biology , botany , literature , world wide web
Legs and ankles have an important role in daily life for activities. Unconsciously often the leg posture becomes abnormal due to the bad habits, so the risk of injury. Assessment of the type of leg posture can be done by various methods, both uni-planar and multi-planar. This study developed the FPI-6 method as a multi-planar tool based on image processing. The data used are 30 reference data and 20 test data from the age of 19-23 years. The results of this study are image processing systems that can identify the type of leg posture automatically quickly and accurately.