Identification for human posture dynamics induced by visual stimulation

Today, Virtual Reality (VR) technology has been widely applied in various fields. In past research, the influence of inducing VR in humans through the human senses or virtual effects has been studied. However the methods used to analyze human sensation have only involved measuring the center of gravity and questionnaire surveys. On the other hand, it is known that the sensation induced by VR affects the userfs behavior with specific frequency component. If this kind of behavior can be modeled by using simple model parameters, it has possibility to control the humanfs behavior using visual stimulation or to increase their reality. And its application field has widely for the VR application with higher reality or medical rehabilitation supports and so on. In this papar, the human behavior model using first order system with parameters has been proposed. And identification method for their parameters by using frequency analysis of human behavior with measurement system is also proposed. In addition, various experiments are performed using the proposed system in order to evaluate its effectiveness. As a result, validity of proposed model and its parameters are confirmed through the analysis of experimental results.