ICAT-EGVE2019 - Posters and Demos

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https://diglib.eg.org/handle/10.2312/2632805

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Browsing ICAT-EGVE2019 - Posters and Demos by Subject "Mixed / augmented reality"

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    Augmented Dodgeball AR Viewer for Spectators
    (The Eurographics Association, 2019) Azuma, Shota; Hertzog, Clara; Sakurai, Sho; Hirota, Koichi; Nojima, Takuya; Kakehi, Yasuaki and Hiyama, Atsushi
    These last few years many systems and methods have been developed to provide information to spectators about a sport game such as baseball, basketball, soccer, etc. Among them, Augmented Sport is one of the emerging area that intends to merge video game concept into physical sports. This project focuses on merging game elements such as Health Points (HP), Attack Power (AP) and Defense Power (DP) to improve enjoyment and variety of players. During Augmented Dodgeball games, the spectators can visualize via the Mixed Reality device additional parameters such as HP, AP and DP of each player. This data is superimposed onto each physical players by virtue of AR markers they wear. To avoid marker occlusion issues, fixed camera(s) are also used to inquire player's physical information and share it via a database. Studies have been conducted in order to find out the best displaying design, methods and limits of the system.
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    Expanding the Freedom of Eye-gaze Input Interface using Round-Trip Eye Movement under HMD Environment
    (The Eurographics Association, 2019) Matsuno, Shogo; Sato, Hironobu; Abe, Kiyohiko; Ohyama, Minoru; Kakehi, Yasuaki and Hiyama, Atsushi
    In this paper, we propose a specific gaze movement detection algorithm, which is necessary for implementing a gaze movement input interface using an HMD built-in eye tracking system. Most input devices used in current virtual reality and augmented reality are hand-held devices, hand gestures, head tracking and voice input, despite the HMD attachment type. Therefore, in order to use the eye expression as a hands-free input modality, we consider a gaze input interface that does not depend on the measurement accuracy of the measurement device. The proposed method generally assumes eye movement input different from eye gaze position input which is implemented using an eye tracking system. Specifically, by using reciprocation eye movement in an oblique direction as an input channel, it aims to realize an input method that does not block the view by a screen display and does not hinder the acquisition of other lines of sight meta information. Moreover, the proposed algorithm is actually implemented in HMD, and the detection accuracy of the roundtrip eye movement is evaluated by experiments. As a result, the detection results of 5 subjects were averaged to obtain 90% detection accuracy. The results show that it has enough accuracy to develop an input inter-face using eye movement.