Authors :
Nikita Chaudhari; Kaustubh Sonawane; Arathi Boyanapalli
Volume/Issue :
Volume 8 - 2023, Issue 11 - November
Google Scholar :
https://tinyurl.com/yh77jyev
Scribd :
https://tinyurl.com/3rurvhd5
DOI :
https://doi.org/10.5281/zenodo.10245341
Abstract :
All around the world, researchers are
working to improve the interactivity of digital devices
and to make them operate with the least amount of
physical interaction possible. The interactive computer
system proposed in this study can function without a
keyboard or mouse. By the implementation of this
project, everyone would have an advantage including a
paralyzed person who finds it difficult to use a mouse or
keyboard. The easiest and most natural way to
communicate is through hand gestures and hence an
innovative method of computer control using a real-time
web camera is demonstrated in this Hand Gesture
Control project. The approach is to use a camera and
computer vision technologies to handle tasks and
perform the jobs without the use of a physical mouse or
keyboard. A webcam with normal resolution is used to
track the user's hand in two dimensions. The system is
created using Python and OpenCV. The output of the
camera will be seen on the monitor and the tasks
associated with the hand gestures will be performed.
Thereby, an application of an easy-to-use gesture control
system is shown in this project.
Keywords :
Interactive Computer System, Hand Gesture, Webcam, Keyboard, Mouse.
All around the world, researchers are
working to improve the interactivity of digital devices
and to make them operate with the least amount of
physical interaction possible. The interactive computer
system proposed in this study can function without a
keyboard or mouse. By the implementation of this
project, everyone would have an advantage including a
paralyzed person who finds it difficult to use a mouse or
keyboard. The easiest and most natural way to
communicate is through hand gestures and hence an
innovative method of computer control using a real-time
web camera is demonstrated in this Hand Gesture
Control project. The approach is to use a camera and
computer vision technologies to handle tasks and
perform the jobs without the use of a physical mouse or
keyboard. A webcam with normal resolution is used to
track the user's hand in two dimensions. The system is
created using Python and OpenCV. The output of the
camera will be seen on the monitor and the tasks
associated with the hand gestures will be performed.
Thereby, an application of an easy-to-use gesture control
system is shown in this project.
Keywords :
Interactive Computer System, Hand Gesture, Webcam, Keyboard, Mouse.
