International Scientific Journal of Engineering and Management

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INTELLI GLOVE

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  • Create Date 18 June 2024
  • Last Updated 18 June 2024

INTELLI GLOVE

MS. ANU BABU
Assistant Prof. Department of Electronics and Communication Engineering St.Thomas Institute  for Science and Technology,Trivandrum.

NIKHIL AV, NIKHIL BOBY, NIRANJAN LAL, RICHU SHIJU

S6 Students Bachelor of Technology Department of Electronics and Communication Engineering St.Thomas Institute for Science and Technology,Trivandrum

 

 

ABSTRACT
 

The main objective of this project is to reduce communication barrier between normal people and special person who are not able to make a normal conversation be it a disabled one or dumb and deaf or palsied or any foreigner etc. As human Beings communicate and know each other through thoughts and ideas. The best way to present your idea is through speech. But some people don’t have the power of speech; the only way to communicate with others is through sign language. The problem with sign language is that it is confined to the people who are also deprived of the power of speech. These people are often termed as deaf and dumb. We can say that it is limited to the same set of persons that cannot speak. So, there is a need of technology which reduces this gap through systems that converts sign language into speech. The project aims to facilitate people by means of a glove- based communication interpreter system. The glove is internally equipped with five flex sensors. For each specific gesture, the flex sensor produces a proportional change in resistance. The processing of these hand gestures is in Arduino nano Board which is an advance version of the microcontroller and the LABVIEW software. It compares the input signal with predefined voltage levels stored in memory. According to that required sound is produced which is stored is memory with the help of speaker. In such a way it is easy for deaf and dumb to communicate with normal people recognition system for facilitating communication among deaf and dumb individuals. It explores the integration of flex sensors with Arduino Nano to capture hand movements, and discusses the implementation of algorithms for gesture classification and translation. Evaluation of Flex Sensor Performance in Smart Gloves for Deaf and Dumb Communication: This study evaluates the performance of flex sensors in smart gloves designed for deaf and dumb communication. It assesses factors such as sensor accuracy, reliability, and durability in capturing hand gestures and transmitting data to Arduino Nano for further processing.


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