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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59871

    Title: An omni-directional stroll-based virtual reality interface and its application on overhead crane training
    Other Titles: 全方向性之步行式虛擬實境系統及其應用於起重機模擬訓練
    Authors: 黃俊堯;Huang, Jiung-yao
    Contributors: 淡江大學資訊工程學系
    Keywords: Locomotion;Virtual reality;Overhead crane;Gait analysis;Ball-bearing sensor;Interactive visual simulator;虛擬實境;步行式輸入設備;天車型起重機;步態分析;鋼珠感應器;互動式視覺模擬畫
    Date: 2003-03
    Issue Date: 2013-06-07 10:46:21 (UTC+8)
    Publisher: Piscataway: The Institution of Engineering and Technology
    Abstract: Locomotion is a virtual reality interface that enables the user to walk inside the virtual environment in any direction over a long distance without actually leaving the physical device. In order to enable the user to freely navigate the virtual world and get fully immersed into the virtual environment accordingly, a locomotion device must fulfill the following two distinct requirements. First, it should allow the user to navigate an infinite distance within a limited area. Secondly, the user should not need to wear any tracking devices to detect his motion. The paper presents a locomotion mechanism called omni-directional ball-bearing disc platform (OBDP), which allows the user to walk naturally on it and thus to navigate the virtual environment. The gait sensing algorithm that simulates the user's posture based upon his footstep data collected from the OBDP is then elaborated. Followed with an omnidirectional stroll-based virtual reality system to integrate the OBDP with the gait sensing algorithm. Significantly, instead of using the three-dimensional (3-D) tracker, the OBDP adopts arrays of ball-bearing sensors on a disc to detect the pace. No other sensor, except the head tracker to detect the user's head rotation, is required on the user's body. Finally, a prototype of an overhead crane training simulator that fully explores the advantage of the OBDP is presented along with the verification of the effectiveness of the presented gait sensing algorithm.
    Relation: IEEE Transactions on Multimedia 5(1), pp. 39-51
    DOI: 10.1109/TMM.2003.808822
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

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