Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Human hands and eyes have a wealth of
information that may be accessed and applied in a variety of
ways In this study, a brand-new technique for using a live
camera to control mouse movement is introduced. We
illustrate how it can perform all activities that current mouse
devices can by using a camera and computer vision
technology, which is the basis behind our approach to
managing mouse duties. In addition to focusing on a human
computer interaction application based on eye and hand
tracking, this research aims to propose a low-cost real-time
system for tracking mouse eye and hand motions.
Additionally, these motions may be recorded and utilized as
control signals to let users interact with interfaces without
the need of a mouse or keyboard. Algorithms for computer
vision and image processing can be used to accomplish this.
This model is used to operate the system using hand gestures
or eye gestures in the graphical user interface.
Keywords:
Hand gestures, Eye gestures, Virtual Mouse, Computer Vision, Graphical user interface.
Cite Article:
"Virtual Mouse Using Hand and Eye Gestures", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 10, page no.638 - 643, October-2023, Available :http://www.ijrti.org/papers/IJRTI2310085.pdf
Downloads:
000205124
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator