Publication Date: 2023/01/09
Abstract: The main objective of this project is that the hand gesture recognition can also be utilised in applications including industrial automation control, sign language interpretation, and rehabilitation equipment for individuals with physical disabilities of the upper extremities. And it is also find applications in varied domains like virtual environments, medical systems, smart surveillance etc. Hand gesture recognition is most significant for human-computer interaction. Gesture Recognition is a technique that uses mathematical algorithms to recognise human gestures. Gesture recognition identifies the hand, monitors hand motions, and also reports on the hand's orientation and finger flow. The user's fingers are tipped with colour markers. The color markers are placed at the tip of the user fingers. The drawing application allows the user to draw by tracking the fingertip movements of the user’s index finger. The existing system has hand gesture recognition serves as a key for overcoming many difficulties and providing convenience for human life. This number recognition through hand gestures project recognizes the numbers from 0-9 according to the gestures of hand.
Keywords: Hand Gesture Recognition, Computer Vision, Paint, Media Pipe, OpenCV
DOI: https://doi.org/10.5281/zenodo.7514430
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22DEC1179_(1)_(1).pdf
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