本研究之目的為利用Kinect人體掃描點建立結構化模型，並重現捕捉到的運動資料。首先介紹本研究團隊所研發之Kinect應用系統，包含了硬體設施、軟體架構，以及實驗時的系統配置。接著介紹如何利用Kinect進行自動化人體八視角的掃描，並經過濾點、轉正等初步處理取得人體八視角點群。之後再利用自行研發的“階層式對正”方法，對人體八組不同視角點群進行對正，取得一個完整、平滑的人體三維點群。
　　接著利用本研究團隊研發的人體結構化方法對人體三維點群進行結構化，取得結構化模型與各種結構檔。
　　本文亦從模型桿件Kinect捕捉到的關節對應關係、重新計算關節方向，與桿件、關節座標系的關係，開發出一種運動轉換方法，能將Kinect捕捉的運動資料轉換，套用到人體模型後能夠成功重現運動的真實情況。

This study describes a method to construct a body model and capture motion data by using one Kinect. Because there is only one Kinect, there are 8 scanning times of the subject. After using our registration method, we can register all 8 sets of scan points and get a whole smooth body points. By using the structure method, we can construct a body model from the body points.
We also present a method to capture motion data by using Kinect and recalculate every joint coordinate system from the position information of the joint. Then by finding the relationship between the coordinate systems of Kinect joints and model links, we can transfer the motion data that will be used to animate the body model.

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