NUMERICAL ANALYSIS OF STOCHASTIC DIFFERENTIAL EQUATIONS AS A MODEL FOR BODY SWAY WHILE VIEWING 3D VIDEO CLIPS

Fumiya Kinoshita, Hiroki Takada

Keywords

Stabilometry, body sway, temporally averaged potential function, stochastic differential equation, visually induced motion sickness

Abstract

Adverse effects such as asthenopia and visually induced motion sickness (VIMS) may occur when viewing a 3D video clip. Disagreement exists between visually perceived movement and the vestibular system’s sense of movement during VIMS. The main symptoms include fatigue, drowsiness, facial pallor, cold sweat, and stomach discomfort. Despite various opinions, the cause is not fully known. Therefore, to allow safe viewing of 3D video clips, it is necessary to evaluate factors causing VIMS using physiological indicators. Stabilometry investigates the body’s equilibrium function. Previous research on VIMS using stabilometry observed an increase in body sway when closing the eyes after viewing a 3D video clip. However, in a general analysis index of the stabilometry, no consistent tendency was shown while viewing a 3D video clip. We herein measured stabilograms while viewing a 3D video clip intended to induce VIMS. Moreover, a mathematical model is proposed to simulate body sway, and the authors discuss the optimum value using a numerical analysis. As a result, while viewing a 3D video clip, the rigidity of the body in the mathematical model increased compared to when no video was viewed. This tendency was observed more in the lateral direction than in the anterior-posterior direction.

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