Deep Learning-Based Gesture Recognition for Computer Vision Applications

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Mr. Visvanathan; T. Surya Teja; V. Deepak Sai

Deep Learning-Based Gesture Recognition for Computer Vision Applications

Authors: Mr. Visvanathan, T. Surya Teja, V. Deepak Sai

Unique Paper ID: 182954
Volume: 12
Issue: no
PageNo: 25-31

Keywords: No Keywords Found

Abstract:
Natural and touchless communication between humans and machines requires hand gesture detection to serve as the key component for human-computer interaction. This document unites a multilingual translation system with hand gesture detection through real-time MediaPipe and OpenCV processing. The system recognizes gesture inputs to identify them before producing output text as Telugu, Hindi, and French. The model depends on OpenCV image processing functions together with MediaPipe hand-tracking for achieving reliable gesture detection. The translated content output enhances accessibility when dealing with people who use different languages. The translation algorithm shows accurate gesture detection through test experiment results. This research strives to progress available methods that enable nonverbal communication and assistive technologies and human-computer interaction systems.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: no
PageNo: 25-31

Deep Learning-Based Gesture Recognition for Computer Vision Applications

Available:https://ijirt.org/article?manuscript=182954

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