Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread
Por um escritor misterioso
Last updated 25 outubro 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.
PDF] Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread
Design and Development of Hand Gesture Based Virtual Mouse
Current and Perspective Diagnostic Techniques for COVID-19
SOLUTION: Deep learning based real time ai virtual mouse system using computer vision to avoid covid 19 spread - Studypool
Deep Learning applications for COVID-19, Journal of Big Data
Machine Learning Methods for Small Data Challenges in Molecular Science
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Machine learning-based automatic detection of novel coronavirus (COVID-19) disease
PDF] Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread
Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread
How Dare They Peep into My Private Life?”: Children's Rights Violations by Governments that Endorsed Online Learning During the Covid-19 Pandemic
Fast and Efficient Design of Deep Neural Networks for Predicting N7-Methylguanosine Sites Using autoBioSeqpy
Hyperspectral Mapping for the Detection of SARS-CoV-2 Using Nanomolecular Probes with Yoctomole Sensitivity
Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19
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