Hand Gesture Recognition Based on Computer Vision: A Review of Techniques.
Hand Gesture Recognition Based on Computer Vision: A Review of Techniques.
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DOI：
10.3390/jimaging6080073
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发表时间：
2020-07-23
影响因子：
3.2
通讯作者：
Chahl J
中科院分区：
文献类型：
--
作者：
Oudah M;Al-Naji A;Chahl J
手势是一种非语言交流的形式，可用于多个领域，如静音人之间的交流，机器人控制，人机交互（HCI），家庭自动化和医疗应用。基于手势的研究论文采用了许多不同的技术，包括基于仪表传感器技术和计算机视觉的技术。换句话说，手势可以分为许多类别，如姿势和手势，以及动态和静态，或两者的混合。本文回顾了手势技术的相关文献，并介绍了手势技术在不同情况下的优点和局限性。此外，它列出了这些方法的性能，重点是处理相似点和差异点的计算机视觉技术，所使用的手部分割技术，分类算法和缺点，手势的数量和类型，所使用的数据集，检测范围（距离）和所使用的相机类型。本文是一个全面的概述手势的方法与一些可能的应用进行了简要的讨论。
Hand gestures are a form of nonverbal communication that can be used in several fields such as communication between deaf-mute people, robot control, human–computer interaction (HCI), home automation and medical applications. Research papers based on hand gestures have adopted many different techniques, including those based on instrumented sensor technology and computer vision. In other words, the hand sign can be classified under many headings, such as posture and gesture, as well as dynamic and static, or a hybrid of the two. This paper focuses on a review of the literature on hand gesture techniques and introduces their merits and limitations under different circumstances. In addition, it tabulates the performance of these methods, focusing on computer vision techniques that deal with the similarity and difference points, technique of hand segmentation used, classification algorithms and drawbacks, number and types of gestures, dataset used, detection range (distance) and type of camera used. This paper is a thorough general overview of hand gesture methods with a brief discussion of some possible applications.