Authors : Rupali Shinganjude; Dipak Majrikar; Atharva Bawiskar; Sayali Bobhate; Jatin Chaurawar; Gaurav Ninawe
Volume/Issue : Volume 8 - 2023, Issue 11 - November
Google Scholar : https://tinyurl.com/3z28mj6y
Scribd : https://tinyurl.com/ysust9c9
DOI : https://doi.org/10.5281/zenodo.10158688
A paper proposing a virtual mouse system
controlled by hand gestures that use AI algorithms to
recognize and translate them into mouse movements. In the
human-computer interaction module, hand gestures played
a significant role. The system is designed to provide an
alternative interface for people who face difficulty using a
traditional mouse or keyboard. This virtual mouse system
uses a camera to capture images of the user’s hand, which
are processed by an AI algorithm to recognize the gestures
made by the user. Once the gesture is recognized, it is
translated to a corresponding mouse movement, which is
then executed on the virtual screen. This model provides
potential applications like enabling the hand-free operation
of devices in hazardous environments and providing an
alternative interface for hardware mouse. This hand
gesture-controlled virtual mouse system offers a promising
approach to enhance user experience and improve
accessibility through human-computer interaction.
Keywords : Virtual Mouse, Hand Gesture Recognition, Computer Vision, Media-Pipe.