The evaluation method for the effect of the various unnatural video components on viewers using physiological indices.

本研究的目的是开发各种不自然的视频成分，如过度的运动对观众的影响的评估方法。为了实现这一目标，提出了一个新的与血管调节有关的自主神经活动的生理指标。该模型表示视频运动和不适程度之间的关系，也提出了使用非线性Hammerstein模型，其中的不适程度估计通过使用多元回归模型，其解释变量是几个生理指标，包括建议的血管指数。该模型可以解释不适程度的变化，相关系数为0.74。这些结果似乎有助于对视觉图像安全性进行客观评估。

The aim of this study was to develop the evaluation method for the effect of the various unnatural video components such as excessive motion on viewers. In order to achieve this object, a new physiological index of autonomic nerve activity relating to vascular regulation was proposed. The model which represents the relationship between video motion and a degree of discomfort was also proposed using non-linear Hammerstein model, in which the discomfort level was estimated by using a multiple regression model whose explanatory variables ware several physiological indices including the proposed vascular index. The model could explain the change in a degree of discomfort with a correlation coefficient of 0.74. It seems that these results can contribute to an objective assessment of visual image safety.