Real-Time Computer Vision Based Hand Gesture Recognition

Rishav Nath Pati, Nagalakshmi Vallabhaneni, P. P, Yash Shekhawat, Srijan Paria
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Abstract

The ability to recognize the shape and movement of hands can help improve the user experience in a wide range of technical domains and platforms. It can help you understand sign language and move your hands in the right way, for example. It can also make it possible for digital information and materials to be added on top of the real world in augmented reality. Here, I talk about a real-time, on-device hand gesture recognition solution that lets us control our system’s graphical user interface (GUI) with static and dynamic hand gestures that can be trained to do a set of actions that are similar to what we do with our
基于实时计算机视觉的手势识别
识别手的形状和运动的能力可以在广泛的技术领域和平台上帮助改善用户体验。例如,它可以帮助你理解手语,以正确的方式移动你的手。它还可以使数字信息和材料在增强现实中添加到现实世界之上成为可能。在这里,我谈论的是一个实时的、设备上的手势识别解决方案,它可以让我们用静态和动态手势来控制系统的图形用户界面(GUI),这些手势可以被训练成一组类似于我们用手做的动作
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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