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研究生: 張宏瑞
Chang, Hung-Jui
論文名稱: 基於混合實境之教練輔助系統
HoloCoach:A Coach-assist System based on Mixed-Reality
指導教授: 朱宏國
Chu, Hung Kuo
口試委員: 姚智原
Yao, Chih Yuan
王昱舜
Wang, Yu Shuen
學位類別: 碩士
Master
系所名稱:
論文出版年: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 33
中文關鍵詞: 混合實境教練輔助系統
外文關鍵詞: HoloLens, Mixed-Reality, Laban movement analysis
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  • 混合實境(Mixed-Reality) 技術的出現造就了許多新的可能性,應用在醫療、娛樂與
    教育上的相關產品也越來越多,而特別在教育這一塊,MR 更是因為其特性而能夠帶給使
    用者更好的體驗與學習效果。然而目前的MR 產品應用情境也多半侷限在使用者自學的情
    境,鮮少有能夠幫助教練抑或是專家檢視其學員狀況的應用。我們所提出的MR 教練輔
    助系統正是為了幫助教練能夠更快且更準確地完成檢視作業的系統。不同於傳統平面影片
    僅用攝影機拍攝,我們使用了動作捕捉裝置Kinect 作為資料輸入端,將補捉的學員動作
    與教練所示範的正確動作做比較分析,得出分析報告並放入我們所使用的頭戴式MR 裝
    置HoloLens,最後由教練配戴HoloLens 並實際操作我們的系統。在檢視MR 影片的過程
    中,教練可以得到額外的學員動作錯誤提示的視覺化回饋,透過這個機制再搭配三維空間
    的點雲資訊能夠讓教練更容易發現學員所作動作之不足之處。


    The rise of Mixed-Reality brings many new possibilities to our life. There are also
    more and more applications came with MR in the field of medical, entertainments and
    education.MR is more capable of bringing not only stunning experiences but also huge
    outcome of learning to the users especially in the area of education. However, most of the
    existing MR applications are constrained in the function of self-learning.Only very few of
    them are aim for coaches or experts to check the status of their students.As a result, we
    provide the system that helps coaches by aiding them to finish their task more quickly and
    more efficiently.Unlike tradition video clips are taken by the camera, we use motion capture
    device like Kinect to record the video as the input of our system.Then we will compare the
    motion performed by students with the ground truth motion recorded by coaches. After
    that, we will out this report file to the MR device we used which is called HoloLens.
    Finally, we will make the coach to wear the HoloLens and use our system. In the process
    of checking the status of students. The coach is available to get additional visualization
    feedback of the wrong part performed by students.By combining this mechanism and three
    dimensional point cloud information will benefit the coach from being easier to find where
    is the insufficient part through the motion performed by students.

    緒論-1 相關研究-3 系統概觀-5 錄製階段-6 分析階段-8 渲染階段-12 系統驗證-16 結果與討論-21 結論-26 附錄-28

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