PDF(Pubmed)
Abstract：
This review explores the historical and current significance of gestures as a universal form of communication with a focus on hand gestures in virtual reality applications. It highlights the evolution of gesture detection systems from the 1990s, which used computer algorithms to find patterns in static images, to the present day where advances in sensor technology, artificial intelligence, and computing power have enabled real-time gesture recognition. The paper emphasizes the role of hand gestures in virtual reality (VR), a field that creates immersive digital experiences through the Ma blending of 3D modeling, sound effects, and sensing technology. This review presents state-of-the-art hardware and software techniques used in hand gesture detection, primarily for VR applications. It discusses the challenges in hand gesture detection, classifies gestures as static and dynamic, and grades their detection difficulty. This paper also reviews the haptic devices used in VR and their advantages and challenges. It provides an overview of the process used in hand gesture acquisition, from inputs and pre-processing to pose detection, for both static and dynamic gestures.
摘要：
这篇评论探讨了手势作为一种通用通信形式的历史和当前意义，重点是虚拟现实应用中的手势。它突出了20世纪90年代手势检测系统的发展，它使用计算机算法在静态图像中找到模式，到现在传感器技术的进步，人工智能,和计算能力实现了实时手势识别。本文强调了手势在虚拟现实(VR)中的作用，通过Ma混合3D建模来创造身临其境的数字体验的领域，音效,和传感技术。这篇综述介绍了手势检测中使用的最先进的硬件和软件技术，主要用于VR应用。它讨论了手势检测中的挑战，将手势分为静态和动态，并对他们的检测难度进行评分。本文还回顾了VR中使用的触觉设备及其优势和挑战。它概述了手势采集中使用的过程，从输入和预处理到姿态检测，静态和动态手势。
