Abstract
Automobiles are necessary for movement. However many people die as a result of automobile accident. Automobile accident does not decrease to at all. On the other hand, we measure a gaze point and a trial to detect person’s interest is performed. The method measuring where person looks on an image is general in traditional eye movement measuring system. But we do not understand person’s interest without image analysis in the traditional system. We propose the method directly calculating three dimensional position of interest object from person’s eye images using virtual reality system without defining two dimensional position of interest object. We register all the candidate object with interest. We propose space information rendering technique to write in direct viewpoint information at virtual space by voting for the object when person watchs an object closely. We develop a driving simulator using virtual reality of a university neighborhood driving course. A beginner driver can know the eye movement of an expert driver by applying this proposed system for an expert driver and a beginner driver.
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References
Young, L., Sheena, D.: Survey of eye movement recording methods. Behav. Res. Methods Instrum. 7(5), 397–429 (1975)
Jacob, R.J.K.: Eye tracking in advanced interface design. In: Virtual Environments and Advanced interface Design, vol. 7, pp. 258–291. Oxford University Press (1995)
Duchowski, A.T.: A breadth-first survey of eye-tracking applications. Behav. Res. Methods Instrum. 34(4), 454–470 (2002)
Duchowski, A.T.: Eye Tracking Methodology: Theory and Practice. Springer, London (2003). https://doi.org/10.1007/978-1-84628-609-4
Azuma, R., Aaillot, Y., Begringer, R., Juiler, S., MacIntyre, B.: Recent advances in augmented reality. IEEE Comput. Graph. Appl. 21(6), 34–47 (2001)
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Morita, S. (2018). Visualizing Viewpoint Movement on Driving by Space Information Rendering. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2018. Lecture Notes in Computer Science(), vol 11241. Springer, Cham. https://doi.org/10.1007/978-3-030-03801-4_19
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DOI: https://doi.org/10.1007/978-3-030-03801-4_19
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