Virtual Mouse

Raji Pandurangan, P. V. P. Reddy, P. S. Reddy, V. S. Gurukrishna
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Abstract

A great example of HCI innovation is the mouse. A wireless or Bluetooth mouse still requires electricity in order to function, and it is not totally power-free since it requires some kind of energy to function and a dongle to connect it to a computer. The AI virtual mouse solution we presented gets over this problem by utilising a camera, either a built-in or a webcam, to record our hand movements and a convolutional neural network to identify the tips of our fingers. The algorithm employed in the proposed system is a machine learning algorithm. The computer’s left-click and pointer functions may be manipulated without a hardware mouse by using hand gestures to operate the machine. In order to track the hands and react to their movements, the system relies on deep learning. Therefore, our suggested method will prevent the spread of covid-19 by doing away with the need for a physical mouse and reliance on gadgets to regulate the position of the pointer.
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虚拟鼠标
鼠标是人机交互创新的一个很好的例子。无线或蓝牙鼠标仍然需要电才能工作,而且它不是完全不带电的,因为它需要某种能量才能工作,还需要一个加密狗把它连接到电脑上。我们提出的人工智能虚拟鼠标解决方案通过使用内置或网络摄像头来记录我们的手部运动,并使用卷积神经网络来识别我们的指尖,从而解决了这个问题。该系统采用的算法是一种机器学习算法。计算机的左键和指针功能可以不用硬件鼠标,通过手势来操作机器。为了跟踪手部并对其动作做出反应,该系统依赖于深度学习。因此,我们建议的方法将不再需要物理鼠标,也不再依赖小工具来调节指针的位置,从而防止新冠病毒的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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