In total hip arthroplasty(THA), complications such as dislocation, loosening, or wearing of the sliding surface are serious clinical problem, and the daily motion of patients has been limited to some extent. However, it is hard to recognize the situation of the components during movement and to predict complications. We have developed the 4-dimensional human model that can visualize the motion of the patient’s skeleton and estimate the risk of complications using computer simulation. At first we constructed a 3-dimensional skeletal model of the patient’s lower limb from CT data. Then we acquired motion capture data from an infrared position sensor (VICON512, VICON Motion Systems, UK), and drove the patient’s skeletal model corresponding to the captured data. Thus we were able to predict the prognosis after the installation of the artificial hip joint, and we have examined the accuracy of the measurements in this system following an experiment using an open MRI.