手势实时绘制工具箱:机器学习方法

Vandit Gajjar, Viraj Mavani, Ayesha Gurnani
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引用次数: 8

摘要

随着计算机技术的普遍发展,如今仅靠鼠标、键盘、触控笔等用户交互方式已经远远不够了。通过机器学习和计算机视觉,直接使用手或手势作为输入设备是一种吸引人们提供应用程序的方法。人机交互应用程序,你可以简单地绘制不同的形状,填充颜色,移动文件夹从一个地方到另一个地方,旋转你的图像与旋转你的手势-所有这些都将不需要触摸你的设备。本文提出了基于机器学习的手势识别,并利用计算机视觉创建了不同类型的手势应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hand gesture real time paint tool-box: Machine learning approach
With current development universally in computing, now a day's user interaction approaches with mouse, keyboard, touch-pens etc. are not sufficient. Directly using of hands or hand gestures as an input device is a method to attract people with providing the applications, through Machine Learning and Computer Vision. Human-computer interaction application in which you can simply draw different shapes, fill the colors, moving the folder from one place to another place and rotating your image with rotating your hand gesture — all this will be without touching your device only. In this paper Machine Learning based hand gestures recognition is presented, with the use of Computer Vision different types of gesture applications have been created.
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