论文标题
有效的基于手势的框架用于捕获用户输入
Effective Gesture Based Framework for Capturing User Input
论文作者
论文摘要
当今的计算机不仅限于笔记本电脑和台式机。手机和笔记本电脑等移动小工具也可以利用它。但是，在过去50年中没有更改的一个输入设备是Qwerty键盘。通过传感器技术和人工智能，虚拟键盘用户可以在任何表面上输入任何表面。在这项研究中，我们使用图像处理的想法来创建一个应用程序，以使用新颖的框架来查看计算机键盘，该框架可以精确地检测手势，同时也具有可持续性且在财务上可行。相机用于捕获键盘图像和手指动作，后来充当虚拟键盘。此外，本研究还描述了一种接受手指坐标为输入的可见虚拟小鼠。该系统具有降低外围成本的直接好处，减少由于外部设备而产生的电子废物，并为无法使用传统键盘和鼠标的人们提供可访问性。
Computers today aren't just confined to laptops and desktops. Mobile gadgets like mobile phones and laptops also make use of it. However, one input device that hasn't changed in the last 50 years is the QWERTY keyboard. Users of virtual keyboards can type on any surface as if it were a keyboard thanks to sensor technology and artificial intelligence. In this research, we use the idea of image processing to create an application for seeing a computer keyboard using a novel framework which can detect hand gestures with precise accuracy while also being sustainable and financially viable. A camera is used to capture keyboard images and finger movements which subsequently acts as a virtual keyboard. In addition, a visible virtual mouse that accepts finger coordinates as input is also described in this study. This system has a direct benefit of reducing peripheral cost, reducing electronics waste generated due to external devices and providing accessibility to people who cannot use the traditional keyboard and mouse.
