s Asgari- Nejad - Faculty of Medical Engineering, Islamic Azad university E-Campus, Iran
f Tabatabaei Ghomshe - Associate Professor of Pediatric Neurorehabilitation Research Center, Ergonomics Department of University of welfare and Rehabilitation Sciences, Tehran, Iran,

Joint of ankle is the most important and sensitivity considered human lower body. So that is faced with disorders and problems which are adapting of accidents, mentality, congenital, sudden impacts. Ankle sprain can be panic on person either in short-time or long-time, who is sensing incontinence during life-time. In other words, occasionally people are apparently walking without any problems, but permanently they won’t be unstable in running walking and other their activities. Recently, many researchers are trying to analysis gait person that they can consider problems of gait in enable and disable men. Therefore all motion analyses are been experiments which are investigated dynamic behaviors in persons. Sometimes we are understanding that curve-fitting of these experimental data are not high suitable, precise and reliable because some curve-fitting methods such as Excel or linear interpolation could not describe behaviors in data or the newest approached which are filled so many gaps and provide a robust curve- fitting. In this paper, we are representing a well-known intelligence approach which name is Adaptive Neural Fuzzy Interface System (ANFIS) for curve-fitting of motion analyses of gait human at University of Social Welfare and Rehabilitation Sciences (USWRS) where in Tehran city. Number of people is 18, but we only show one of curve-fittings of men ANFIS has incredible features such as robustness high estimation and precise and also adaptation on time for every data. Finally we used this method for prediction of ankle position of person at laboratory.

Fuzzy, Neural Networks, Ankle Joint, Sagittal Plane.