K S Chakradhar, Lakshmi Prasanna Rejinthala, chowdary Sree Rama Brunda salla, Bharathi Pola, Bhargava Petlu
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引用次数: 0
摘要
计算机的使用日益迅速,但输入设备是有限的,我们需要靠近屏幕才能访问它们。为了克服这个问题并控制屏幕,我们可以使用手势。对于每个操作,我们使用不同的手势。我们提出了一个python程序来通过手势控制媒体播放器。在这种方法中,我们使用像OpenCV, Media Pipe, PyAuto GUI和其他库来捕获视频,提供现成的ML解决方案,自动化GUI并以编程方式控制键盘和鼠标。手势将被用作输入,通过减少外部硬件交互来提供自然交互。整个过程分为两个步骤。首先,通过摄像头进行手势识别是由OpenCV和media Pipe帮助识别手势的位置,并执行相应的命令。其次,使用PyAuto GUI实现键盘的自动化和媒体播放器的控制。
Computer usage is increasing rapidly day by day but the input devices are limited and to access them, we need to be near the screen. To overcome this problem and control the screen, we can use hand gestures. For every operation, we used different hand gestures. We proposed a python program to control the media player through hand gestures. In this method, we used libraries like OpenCV, Media Pipe, PyAuto GUI, and other libraries to capture the video, provide ready-to-use ML solutions and automate your GUI and programmatically control your keyboard and mouse. Hand gestures will be used as the input for providing natural interaction by reducing external hardware interaction. The whole process is divided into two steps. Firstly, gesture recognition through the camera is done by OpenCV and media Pipe helps to identify the gesture b its position, and the respective command is executed. Secondly, PyAuto GUI is used to automate the keyboard and controls the media player.