本論文將手勢辨識應用於Android作業系統，將此發展在Android的好處在於現今越來越多裝置採用此作業系統，因此可被使用的範圍也隨之變廣，只要是使用Android系統的裝置皆可使用本論文所提出的系統，此為主要撰寫於上的關鍵之一。本論文所提出的系統為以人體手部操控裝置，此外還結合了游標以便使用者清楚控制情況，系統本身結合了手部定位、追蹤及辨識，讓使用者可依自己雙手來使用裝置，無需再藉由其他的周邊輸入設備。本文中提出Quick Hull及邊緣向量作為判斷手部的特徵，再使用平均位移演算法及粒子濾波器的觀念對定位到的手部進行追蹤。由實驗可知利用我們提出的方法進行手部追蹤與辨識，不但可以在受干擾的環境下有效完成指令，亦可達到即時手勢辨識的效果。

This paper proposed the technology about hand gesture recognition on Android operating system. The benefit is that the device using Android operating system becomes much popular recently, so that the application can be used on the wide of range, if the device use Android then it can use the application we proposed. That is most of the important reason why we developed the app on it.
The system which we proposed is let us can control the device such like mobile phone by our hand, for more accuracy control, we use cursor to let the user know what situation it is, there is hand locating, tracking and recognition on this system, it can let user to control the device by their hand, no needed any input device anymore. In this paper we proposed the direction of finger’s broadside and the finger hull point be the human’s hand characteristic, used Mean Shift and some concept of Particle Filter to track the hand which we located before.
According to the experiment results, we can know that use of the proposed method for hand tracking and recognition not only achieve real time hand tracking but also effectively complete instructions under the disturbed environments.

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