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\subsection{Scope and Limitations}  This study is was  about providing a game based on enhanced projectile model and collision detection algorithm using Kinect Principle. It will focus was focused  on the application of the said algorithms in order to check their efficiency when applied to the objects inside the game namely the net and the garbage. The projectile model as applied inside the game will provide provided  the necessary projectile motion of the garbage thrown so that the garbage will would  fall only inside the catching range of the net. The probability of the net catching the garbage is was  applied in the Collision detection algorithm where the areas of the garbage and net and the net's edge will be were  computed to find out if the garbage will would  be accepted by the net. The Kinect's body tracking and gesture recognition algorithms will would  track the gestures of the user as an input wherein the gestures will would  serve as the controller of the game. However, the study will did  not cover the overall body tracking capability of Kinect. Only the upper and lower arm (elbow), hands, torso, and the lower body (feet) of the user will be were  tracked by the system while the rest of the user's body will would  be recognized but not used. Also, additional gestures not used in the game will be were  ignored and will not have an effect in the game play. Furthermore, the objects that will would  serve as garbage will always be solid; non-solid objects such as slime and forms of liquid will not be included.