使用手势的虚拟鼠标

Roshnee Matlani, Roshan Dadlani, Sharv Dumbre, Shruti Mishra, A. Tewari
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引用次数: 12

摘要

手势控制的笔记本电脑和电脑最近获得了很多关注。跳跃运动是这种技术的名称。在我们的电脑/笔记本电脑前挥动我们的手可以让我们管理它的某些功能。与幻灯片和开销相比,基于计算机的演示具有显著的优势。音频、视频,甚至互动程序都可以用来改进演示。不幸的是,使用这些技术比使用幻灯片或开销更复杂。演讲者必须用不熟悉的控制方式操作各种设备(如键盘、鼠标、录像机遥控器)。在黑暗中,这些设备很难看到,操纵它们会导致演示中断。手势是最自然、最轻松的交流方式。摄像机的输出将显示在监视器上。这个概念是用一个简单的摄像头代替传统的或标准的鼠标来控制鼠标光标的功能。虚拟鼠标提供了用户和系统之间的基础设施,仅使用一个摄像头。它允许用户在不使用机械或物理设备的情况下与机器进行交互,甚至可以控制鼠标功能。本研究提出了一种无需任何电子设备即可控制光标位置的方法。而点击和拖动等操作将使用各种手势来执行。作为输入设备,建议的系统只需要一个网络摄像头。建议的系统将需要使用OpenCV和Python以及其他工具。相机的输出将显示在系统屏幕上,以便用户可以进一步校准它。
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Virtual Mouse using Hand Gestures
Gesture-controlled laptops and computers have recently gained a lot of traction. Leap motion is the name for this technique. Waving our hand in front of our computer/laptop allows us to manage certain of its functionalities. Over slides and overheads, computer-based presentations have significant advantages. Audio, video, and even interactive programmes can be used to improve presentations. Unfortunately, employing these techniques is more complicated than using slides or overheads. The speaker must operate various devices with unfamiliar controls (e.g., keyboard, mouse, VCR remote control). In the dark, these devices are difficult to see, and manipulating them causes the presentation to be disrupted. Hand gestures are the most natural and effortless manner of communicating. The camera’s output will be displayed on the monitor. The concept is to use a simple camera instead of a classic or standard mouse to control mouse cursor functions. The Virtual Mouse provides an infrastructure between the user and the system using only a camera. It allows users to interface with machines without the use of mechanical or physical devices, and even control mouse functionalities. This study presents a method for controlling the cursor’s position without the need of any electronic equipment. While actions such as clicking and dragging things will be carried out using various hand gestures. As an input device, the suggested system will just require a webcam. The suggested system will require the use of OpenCV and Python as well as other tools. The camera’s output will be presented on the system’s screen so that the user can further calibrate it.
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