Air Writing Recognition Using Mediapipe and Opencv

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Abstract

Have you ever wished you could draw something just by waving your finger in the air? This can be accomplished in this day and age using a variety of technologies. This paper describes an application that uses the Python modules MediaPipe, Numpy, and OpenCV to write/draw geometrical shapes in real time over air in front of a camera. The proposed method accomplishes two goals: first, it recognizes the hand and the fingers from video frames, and then it monitors hand movements to create diverse designs. Furthermore, this technology allows for genuine Human-System interaction without the use of any form of character input device. The application is created in Python and tested in a variety of circumstances with variable illumination. This Software-based solution is relevantly basic, quick, and straightforward to use.

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Nitin Kumar, R., Vaishnavi, M., Gayatri, K. R., Prashanthi, V., & Supriya, M. (2022). Air Writing Recognition Using Mediapipe and Opencv. In Smart Innovation, Systems and Technologies (Vol. 302, pp. 447–454). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2541-2_35

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