Air Writing and Recognition System
-
Published:2023-05-31
Issue:5
Volume:11
Page:6291-6296
-
ISSN:2321-9653
-
Container-title:International Journal for Research in Applied Science and Engineering Technology
-
language:
-
Short-container-title:IJRASET
Author:
Bamanikar Prof. Ashvini
Abstract
Abstract: A revolutionary method that enables users to write in the air using hand gestures and precisely recognizes finger movement is the air writing and recognition system using the MediaPipe module. A new method that enables users to write in the air using hand movements while AWS Textract accurately translates and converts the written language is to use AWS Textract for air writing detection and recognition. It uses machine learning techniques to examine how the hand landmarks move over time and recognize various gestures. The system is an effective and user-friendly solution for jobs requiring text input and air writing due to its real-time tracking and precise recognition capabilities.
Publisher
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Air Canvas: Expressing Creativity in the Real World with OpenCV and Python;2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE);2023-12-14