" Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision "

dc.contributor.author	Arwa Ahmad
dc.contributor.author	Rawan Aub Ali
dc.date.accessioned	2024-10-27T10:07:28Z
dc.date.available	2024-10-27T10:07:28Z
dc.date.issued	2021
dc.description.abstract	The mouse is one of the coolest inventions of human-computer interaction (HCI). Because it uses a battery for power and a dongle to connect to your computer, a wireless mouse or Bluetooth mouse still uses hardware and isn't completely hardware-free. This problem can be overcome in the proposed AI virtual mouse system by using a webcam or a built-in camera to capture hand movements and recognize hand tips using computer vision. The algorithm of the system is based on the method of machine learning. The computer can be controlled remotely using hand gestures and can perform left-click, right-click, scrolling, and computer cursor tasks without the use of a hardware mouse. To detect hands, the algorithm uses deep learning. As a result, the proposed approach will prevent the spread of COVID-19 by removing human interaction and reliance on remote control of computers.
dc.identifier.uri	https://hdl.handle.net/20.500.11888/19659
dc.supervisor	Dr. Falah Hassan
dc.title	" Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision "