Author:
Hanifan Hasya Azqia,Novamizanti Ledya,Mukhtar Husnaeni
Abstract
Abstract
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.
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