论文标题
NFS：使用MediaPipe和Pygame的基于手势识别的游戏
NFS: A Hand Gesture Recognition Based Game Using MediaPipe and PyGame
论文作者
论文摘要
本文代表了通过手势运动与人类互动的游戏。如今，像这样的应用似乎很罕见，并且似乎有一个窗口打开此类应用程序在不久的将来更加普遍和有用。此应用程序基于手势运动，而不是依赖键盘和鼠标。主要问题是弄清楚如何利用机器学习来使该应用程序应尽其所能。首先，选择了两个游戏，其中一款用传统的控制器，另一个使用手势方法选择。然后，比较了这两个游戏，比较了难以使用的困难，有趣的元素，游戏玩法和可重播性。尽管困难增加了，但其他三个方面显着改善。经过所有这些结论，可以得出一个结论，人们更有可能玩简单的基于手势的游戏。
This paper represents a game which interacts with humans via hand gesture movement. Nowadays, apps like this seem rare, and there seems to be a window opening for this kind of application to be more prevalent and useful in the near future. This application is based on hand gesture movement instead of being dependent on a keyboard and mouse. The main issue was to figure out how to utilize machine learning to make this application work as it should be. First, two games were selected one with a traditional controller and another with hand gesture method. Then these two games based on the difficulty to use, fun elements, gameplay, and replayability were compared. Though the difficulty increases but the other three aspects improve significantly. After going through all of that a conclusion can be drawn that people are more likely to play a simple hand gesture-based game.
