用OpenCV实现功能系统的手势识别

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
Shubham Patel, R. Deepa
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引用次数: 0

摘要

近年来,智能、自然的人机界面设计成为人们关注的焦点。手势识别系统由于其与机器交互的能力而不断得到发展。如今,虚拟生态系统的新闻增加了手势识别系统的数量。手势用于与虚拟环境中的pc进行通信。在这个项目中,手势被用来传达非语言的信息,这些信息可以自由地表达来完成特定的任务。在这里,手势是通过使用python的mediapipe库使用手部骨架识别来识别的。在这个项目中,PC摄像头将记录实时视频,并识别基于特定功能将发生的手势。本项目将通过使用OpenCV库在Python中编码,呈现使用手势识别技术的虚拟键盘、计算器和控制系统的音量。
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 Recognition Used for Functioning System Using OpenCV
Recently much attention has been paid to the design of intelligent and natural user-computer interfaces. Hand Gesture Recognition systems has been developed continuously as its ability to interact with the machines. Now-a-days the news of metaverse ecosystem has increased the number of system in gesture recognition. Gestures are used to communicate with the PCs in a virtual environment. In this project Hand gestures are used to communicate information non-verbally which are free of expression to do a particular task. Here the hand gestures are recognized by using hand skeleton recognition using mediapipe library in python. In this project, the PC camera will record live video and recognizes the hand gestures based on which a particular functionality will take place. This project will present virtual keyboard, calculator and control system’s volume using hand gestures recognition technique by coding in Python using the OpenCV library.
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来源期刊
Advances in Science and Technology-Research Journal
Advances in Science and Technology-Research Journal ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
27.30%
发文量
152
审稿时长
8 weeks
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