Abstract Summary
There is growing use of foot orthosis (FO) to improve comfort and performance as well as to relieve pain for various pathologies. However, the design of FOs is still based on controversial and uncertain criteria. Previous research evaluated FO based on foot motion and pressure. This is the first study to look at the direct interaction between foot and FO during walking through an artificial intelligence approach. A neural network provides the deformation of different regions of FO from 55 markers. Such an innovative approach should help to improve the rigidity of design in different regions of FO based on individual demands.