Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread
Por um escritor misterioso
Last updated 30 maio 2024
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.
Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread
Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19
Immuno, Free Full-Text
Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19
Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images - ScienceDirect
Google Research: Looking Back at 2020, and Forward to 2021 – Google Research Blog
Deep Learning applications for COVID-19, Journal of Big Data
Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread. - Abstract - Europe PMC
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