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Research paper : Developing an evaluation system of visually induced motion sickness for safe usage of moving images (H. Ujike)−147−Synthesiology - English edition Vol.5 No.3 (2012) for over 200 participants in the experiment were accumulated for this system using live-action images, and we shall continue to estimate the percentage of people who show certain symptoms, and to estimate the level of symptoms that certain percentage of people may experience.The international standardization of image safety is in progress as mentioned in the beginning, and the ISO standard proposal is considered for the VIMS guideline within 2010. Before the proposal is submitted, we shall promote the understanding for the VIMS issue by distributing this system to the image industry people, and we also plan to utilize this system to demonstrate the adequacy of the proposed standard in the standardization committee.Moreover, we plan to expand this system to develop the 3D image evaluation system that enables the evaluation of 3D image safety. Since there is visual fatigue that occurs uniquely with 3D images, it is necessary to take sufficient measures against VIMS due to the increased realism of the images.A solid 3D market is being formed with the hit of the Hollywood 3D movie in 2009 and the launch of 3D TV in 2010. In such a situation, the 3D image guideline and the abstract journal that will be the basis of such guideline were published by the collaboration of the 3D Consortium, Japan Electronics and Information Technology Industries Association, and AIST in April 2010. As a result, the social recognition for 3D image safety spread rapidly in a short time through various mass media. This was because the human network that was nurtured in the R&D for the VIMS evaluation system and its long process functioned effectively, the R&D process could be easily developed and applied to 3D images, and the passage to the activities for 3D image safety was formed as the collaboration and cooperation led to the understanding of the government organizations and various parties involved.The 3D images have been said to have a 10-year cycle of rise and decline, but the main reason they failed to develop sufficiently in the past market is because the measures to reduce the discomfort caused by 3D images were insufficient. In the future, with the close collaboration with the external research institutes such as the universities and the industry people, we plan to increase the understanding of the biomedical effect of 3D images by joint R&D for a highly reliable 3D image evaluation system that is the expansion of the system discussed in this paper. At the same time, we would like to solve the issue of 3D image safety by enabling the evaluation of the 3D images.AcknowledgementPart of this study was subsidized by JKA through its Promotion funds from KEIRIN RACE and was supported by the Mechanical Social Systems Foundation and the Ministry of Economy, Trade and Industry.I am thankful to the people of the R&D Committee of the subcontract project that spent effort in the joint research development of the VIMS evaluation system. References[1]International standard organization: IWA3:2005 Image safety - Reducing the incidence of undesirable biomedical effects caused by visual image sequences (2005).[2]J. T. Reason and J. J. Brand: Motion Sickness, Academic Press (1975).[3]H. Ujike, K. Ukai and K. Nihei: Survey on motion sickness-like symptoms provoked by viewing a video movie during junior high school class, Displays, 29, 81-89 (2008).[4]U.S. Navy: OPNAVINST 3710.7T. (2004).[5]H. Ujike: For the creation of a people-friendly image viewing environment, AIST Today, 6 (3), 28-29 (2006) (in Japanese).[6]H. Ujike: Vol. 3 Chapter 7 Biosafety of images, FPD Guidebook 2009 Edition, JEITA, Tokyo (2009) (in Japanese).[7]The Mechanical Social Systems Foundation: “Feasibility Study for the Realization of the Visually-Induced Motion Sickness Guideline Verification System” Reported by Japan Electronics and Information Technology Industries Association (2008) (in Japanese).[8]H. Ujike, K. Ukai and S. Saida: Effects of motion types and image contents on visually-induced motion sickness, Transactions of the Virtual Reality Society of Japan, 9, 377-386 (2004) (in Japanese).[9]H. Ujike, T. Yokoi and S. Saida: Effects of virtual body motion on visually-induced motion sickness, Proc. IEEE EMBS 2004, 2399-2401 (2004).[10]H. Ujike, R. Kozawa, T. Yokoi and S. Saida: Effects of rotational components of yaw, roll and pitch on visually-induced motion sickness, Proc. HCII 2005, 2353-2356 (2005).[11]H. Ujike: Effects of global motion included in video movie provoking an incident on visually induced motion sickness, Lecture Notes in Computer Science, 4563, 392-396 (2007). [12]K. Jinzenji, H. Watanabe, S. Ishibashi and N. Kobayashi: Global motion estimation for static sprite production and its application to video coding, IEICE Technical Report, PRMU, Pattern Recognition and Media Understanding, 98 (206), 47-53 (1998) (in Japanese).[13]H. Ujike: Estimation of visually induced motion sickness from velocity component of moving image, Lecture Notes in Computer Science, 5622, 136-142 (2009).[14]N. Sugita, M. Yoshizawa, A. Tanaka, M. Abe, S. Chiba, T. Yambe and S. Nitta: Relationship between physiological indices and a subjective score in evaluating visually induced motion sickness, Lecture Notes in Computer Science, 5622, 114-119 (2009).[15]H. Toyama, T. Kiryu, M. Iwaki and A. Iijima: Evaluation of visually-induced motion sickness by analysis of temporal variation in autonomic nervous activity, IEICE Technical Report, 109 (406), 85-89 (2010) (in Japanese).[16]A. Iijima, K. Ukai, T. Kiryu, I. Hasegawa and T. Bando: Effect of the motion ingredient of image on cerebral blood flow, Proceedings of the Symposium on Biological and

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