抄録
In this paper we develop an estimation model of foot-ankle muscular activity for designing an ankle-foot orthosis. We used Baysian network for building the model and evaluate the model. Especially we talk about conformity with actual muscle activity. Our model has three advantages. First, it can express the influences, which change throughout the gait, because we use 10% level nodes of each factor. Second, it can express the influences of factors, which are different for low and high muscular activity legels. Last, the model can compensate the missed estimations by estimating every 10% level muscle activity. In an evaluation of this model, we confirmed that this model can estimate all muscular activity level with an accuracy rate greater than 90%.
