手部手势系统的机器学习方法

N. Kumar, P. Deivendran, S. Raju, V. D. Kumar, C. M. Krishnan
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引用次数: 0

摘要

手势在非语言暗示和我们与外界的互动中都起着至关重要的作用。值得注意的是,数以百万计的残疾人受益于手语,这是一种手势系统。近年来,手势识别技术的多功能性促使其迅速发展。在虚拟环境中,人与电脑之间最直观的交流方式被认为是手势。提议的工作重点是手势来传达想法,因为它们是一种非语言交流的唤起形式。在这个节目中,我们电脑上的摄像头捕捉到一段实时视频,通过它的功能或操作获得预览。具有至少可接受特性的廉价网络摄像头进入市场,为人机交互(HCI)接口的应用开辟了新的途径。本文提供了一个人机交互鼠标光标控制接口。实现的解决方案的目标是使用户在网络摄像头上观看时能够通过手部动作移动鼠标光标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Approach for Gesticulation System Using Hand
Hand gestures play a crucial role in both nonverbal cues and our interactions with the outside world. Notably, millions of individuals with disabilities benefit from sign language, a system of hand signals. The versatility of hand gesture recognition technologies to successfully collaborate with machines has spurred their rapid development in recent years. The most intuitive form of communication between humans and PCs in a virtual environment is seen to be gesturing. The proposed work focus on hand gestures to convey ideas because they are an evocative form of nonverbal communication. In this programme, the camera on our PC captures a live video from which a preview is obtained with the aid of its features or operations. The entry onto the market of inexpensive webcams with at least acceptable characteristics opens up new avenues for the application of human-computer interaction (HCI) interfaces. The paper offers an HCI mouse cursor control interface. The implemented solution's goal is to enable user hand motions to move the mouse cursor while viewed on a webcam.
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