Computer Automation Using MediaPipe and Gesture Recognition

Main Article Content

Nandana Sangyam
B.Narsingam
Zeeshan Tabassum
Bharath Reddy

Abstract

Human Computer Interaction has been a multidisciplinary field of study focusing on the design of computer technology and, in particular, the interaction between humans (the users) and computers. There are multiple ways to interact with a computer and are not limited to physical hardware devices. Gesture recognition is a computing process that attempts to recognize and interpret human gestures through the use of mathematical algorithms. Gesture recognition is not limited to just human hand gestures, but rather can be used to recognize everything from head nods to different walking gaits. Computer automation is another area where scientists are trying to automate mundane, time taking tasks. Basic tasks like “Shutting down”, “Opening apps”, “Visiting a particular URL” are tedious and can be automated. Utilizing the power of “Hand Tracking” and “Gesture Recognition”, we can use our hands to control our system without ever touching mouse or keyboard.

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How to Cite
Sangyam, N., B.Narsingam, Zeeshan Tabassum, and Bharath Reddy. “Computer Automation Using MediaPipe and Gesture Recognition”. Technix International Journal for Engineering Research, vol. 9, no. 6, June 2022, pp. 37-40, https://tijer.org/index.php/tijer/article/view/175.
Section
Research Articles

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