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基于深度学习的计算机视觉实时 AI 虚拟鼠标系统，用于避免 COVID-19 传播。

Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread.

机构信息

Department of CSE, Hindusthan College of Engineering and Technology, Coimbatore, India.

Rathinam Group of Institutions, Coimbatore, India.

出版信息

J Healthc Eng. 2021 Oct 25;2021:8133076. doi: 10.1155/2021/8133076. eCollection 2021.

DOI:10.1155/2021/8133076
PMID:34733459
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8560261/
Abstract

The mouse is one of the wonderful inventions of Human-Computer Interaction (HCI) technology. Currently, wireless mouse or a Bluetooth mouse still uses devices and is not free of devices completely since it uses a battery for power and a dongle to connect it to the PC. In the proposed AI virtual mouse system, this limitation can be overcome by employing webcam or a built-in camera for capturing of hand gestures and hand tip detection using computer vision. The algorithm used in the system makes use of the machine learning algorithm. Based on the hand gestures, the computer can be controlled virtually and can perform left click, right click, scrolling functions, and computer cursor function without the use of the physical mouse. The algorithm is based on deep learning for detecting the hands. Hence, the proposed system will avoid COVID-19 spread by eliminating the human intervention and dependency of devices to control the computer.

摘要

鼠标是人机交互（HCI）技术的一项杰出发明。目前，无线鼠标或蓝牙鼠标仍在使用设备，而且由于其使用电池供电，并且使用适配器将其连接到 PC，因此并未完全摆脱设备的束缚。在提出的 AI 虚拟鼠标系统中，可以通过使用网络摄像头或内置摄像头来捕获手势并使用计算机视觉进行指尖检测，从而克服这一限制。该系统中使用的算法利用了机器学习算法。基于手势，计算机可以进行虚拟控制，并执行左键单击、右键单击、滚动功能以及计算机光标功能，而无需使用物理鼠标。该算法基于深度学习来检测手。因此，所提出的系统将通过消除人类干预和对设备的依赖来控制计算机，从而避免 COVID-19 的传播。

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