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Estimation of Visually Induced Motion Sickness from Velocity Component of Moving Image

  • Hiroyasu Ujike
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5622)

Abstract

The purpose of the study is to examine whether the effects of global motion, (GM), on visually induced motion sickness, (VIMS), found with visual stimulus consisting of simple global motion will be applied to the effects of moving images including combination of global motion on VIMS. We, previously, found that velocity, but not temporal frequency component, of GM dominates subjective scores related to VIMS in the experiments presenting simple GM. To achieve the purpose, I made a model to estimate discomfort level of a standard observer during watching a moving image. The model, at the beginning, analyses GM included in the movie; and then, the time-series of velocity data in each element of analyzed GM is compared with the characteristics of simple GM on VIMS for estimating discomfort level. The validity of the model was examined by comparing the estimated discomfort level and actually measured average discomfort level using identical video movie which rather easily inducing VIMS. As a result, the model well estimates the values of subjective score actually measured during observers watching video movies.

Keywords

Motion Sickness Camera Motion Global Motion Subjective Score Frame Count 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hiroyasu Ujike
    • 1
  1. 1.Institute for Human Science and Biomedical EngineeringNational Institute of Advanced Industrial Science and TechnologyTsukubaJapan

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