Time Series Modeling of Visually Induced Postural Sway

Today, Virtual Reality (VR) technology has been applied in various fields, and the effects of inducing VR contents in humans have been studied. Generally, VR contents mainly consist of visual stimulation and it is considered that it influences the recognition mechanisms in the human brain, the behaviors in the human body and so on. In this research, in order to construct a methodology of VR content production with higher realism, an analysis method for behaviors in the human body induced by visual stimulation is studied. It is known that the sensation induced by visual stimulation affects the human behavior with a specific frequency component. If this kind of behavior can be modeled by using simple model parameters, it has the possibility to control the human behavior using visual stimulation or to increase its realism. In previous research, a parameterized first-order human behavior model has been proposed. The validity of the proposed model and its parameters has been confirmed through the analysis of verification experimental results. In this research, long-term experiments have been conducted to check the validity of the proposed analysis method. In addition, the possibility of applying the method as a time series modeling method to postural sway analysis is also considered.