Hand Gesture Recognition Techniques For Human Computer Interaction Using OpenCv

Registration ID: IJNRD_191097

Published ID: IJNRD2305017

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Prapti Mandal

hand gesture, human computer interaction (HCI), contour, convex hull, convexity defects, gesture recognition, python, openCV.

Hand gesture recognition is one technology that can figure out what a person is doing with their hands in a live video. The way the hand moves fits into a given field of study. In this study, creating a system that can recognize hand gestures is one of the hard tasks that combines two big problems. First, there is hand detection. Another challenge is making a sign that can be utilized with just one hand at a time. This study focuses on how a system might detect, recognize, and understand hand gestures by computer vision, even when the position, orientation, location, and size of the hands can change. In this system, several kinds of gestures, such numbers and sign languages, need to be made for this project to work successfully. Before the image processing is done, the picture from the real-time video is analyzed with a Haar-cascaded Classifier to find the hand gesture or, in other words, to find the appearance of a hand in a frame. In this project, the hand will be found by utilizing Python programming and the ideas of Region of Interest (ROI). The part of the findings that will be explained in detail will be the simulation, as the only difference between the simulation and the hardware implementation is the source code to read the real-time input video. Using the ideas of hand segmentation and the hand detection system that uses the Haar-cascade classifier, hand gesture recognition may be built using Python and OpenCV..

Published Paper   E-Certificate

Prapti Mandal (May-2023). Hand Gesture Recognition Techniques For Human Computer Interaction Using OpenCv. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), a127-a132. https://ijnrd.org/papers/IJNRD2305017.pdf

Volume 8 Issue 5, May-2023

Pages : a127-a132

Paper Reg. ID: IJNRD_191097

Published Paper Id: IJNRD2305017

Downloads: 000122255

Research Area: Engineering

Author Type: Indian Author

Country: Jagdalpur, CHHATTISGARH, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305017.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305017

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