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研究生: 許孟勤
Hsu, Meng-Chin
論文名稱: 使用消費型無標記動作擷取裝置之人體姿勢比對工具集
A Toolkit for Human Posture Comparison with Consumer Markerless Motion Capture Device
指導教授: 侯廷偉
Hou, Ting-Wei
學位類別: 碩士
Master
系所名稱: 工學院 - 工程科學系
Department of Engineering Science
論文出版年: 2012
畢業學年度: 100
語文別: 英文
論文頁數: 40
中文關鍵詞: 動作擷取姿勢比對導引Kinect
外文關鍵詞: motion capture, posture comparison, guidance, Kinect
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  • 動作擷取裝置發展已有一段時間,無論是使用有標記光學、無標記光學系統或者是藉由一些感測器建成的系統。一般今日在遊戲主機市場上,有多種消費型無標記動作擷取裝置被廣泛使用。
    本研究針對消費型無標記擷取裝置Kinect設計了一個可以進行姿勢比對的工具集,此工具集包含了基本的三類功能:第一類功能為姿勢顯示,程式能夠擷取使用者現在的姿勢,同時正確地顯示在螢幕上,而且可以記錄使用者的姿勢;第二類功能為姿勢比對,我們藉由一些特徵來判斷目前使用者的姿勢和之前錄製的資料的差異;第三類功能為基本的導引功能,程式會告訴使用者哪些部位的姿勢相差過大需要調整。

    Motion capture devices have been developed for a long time. Generally they would use marker-based optical systems, markerless optical systems, or sensor-based systems. Nowadays there are many consumer markerless motion capture devices which are deployed widely.
    This research proposes a software toolkit which is for comparing postures captured by Kinect, a consumer markerless motion capture device. The toolkit supports three major classes of functions. The first class of function is to capture user’s posture from the device and to show the posture on screen precisely. The second class of functions is for comparing the differences between current user’s posture and recorded data. The third class of function is for basic guidance, i.e., informing the user where needs adjustment.

    摘要 i Abstract ii ACKNOWLEDGEMENTS iii CHAPTER 1 Introduction and Related Works 1 CHAPTER 2 Design and Implementation 3 2.1 Microsoft Kinect for Windows Software Development Kit (SDK) Beta 3 2.2 Requirements for Posture Comparison 7 2.3 Skeleton Recording and Reading 8 2.4 Coordinate Translation 10 2.5 Skeleton Comparison 14 Included Angle and Normal Vector Comparison 14 2.6 Skeleton on Screen Adjustment 19 2.7 Guidance 21 CHAPTER 3 Experimental Results 23 CHAPTER 4 Discussion 27 4.1 Device 27 4.2 Processing Delay 27 4.3 CPU Loading 27 4.4 Skeleton Interference and Overlay 28 4.5 Skeleton Scaling by Different Distance 28 CHAPTER 5 Conclusion and Future Work 30 References 31 Appendix A – Microsoft Kinect SDK API 34 Appendix B – Kinect Device 38

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