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SIGN TO TEXT CONVERSATION USING ARDUINO

THARIGOPPULA MURALI MURALI

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Paper Contents

Abstract

This paper presents a low-cost flex-powered gesture detection system that utilizes flexible sensors to detect and interpret hand gestures for various applications. The system employs a combination of flexible resistive sensors, microcontrollers, and signal processing algorithms to recognize specific gestures based on changes in the sensor resistance as the hand or fingers bend. The low-cost nature of the system makes it highly accessible and scalable, with potential applications in areas such as healthcare (for prosthetic control and rehabilitation), gaming (for intuitive user interfaces), smart home automation (for hands-free control of devices), and assistive technology (for people with disabilities). The systems flexibility and compact design enable its integration into wearable devices and interactive environments, offering an affordable yet effective solution for gesture recognition. Through experimentation and testing, the system demonstrated high accuracy and responsiveness, highlighting its potential to revolutionize gesture-based control in various domains while maintaining costeffectiveness.

Copyright

Copyright © 2025 THARIGOPPULA MURALI . This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50900007297
ISSN: 2321-9653
Publisher: ijprems
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