Litcius/Paper detail

Alphabetical Gesture Recognition of American Sign Language using E-Voice Smart Glove

Muhammad Saad Amin, Muhammad Talha Amin, Muhammad Yasir Latif, Ali Asghar Jathol, Nisar Ahmed, M. Irtaza Nawaz Tarar

202021 citationsDOI

Abstract

E-Voice a Smart Glove designed to be an interpreter between deaf-mute individuals and the normal public. Gesture translation into speech and textural form is carried out through this device. The smart glove is embedded with modern and technologically advanced sensors to make the overall prototype lightweight and easy to carry. Gesture translation is performed by idealizing the standard ASL template. Speaking disability of mute person is removed through E Voice glove by translating gestures into speech and display form. The main features of the prototype include a gesture recognizer that is portable and reduces the necessity of learning the sign language gestures for normal people. The objectivity of developing an SL prototype is to remove social racism between deaf-mute and normal communities with the involvement of a smart gesture translation glove.

Topics & Concepts

GestureGesture recognitionInterpreterComputer scienceSign languageWired gloveAmerican Sign LanguageSpeech recognitionHuman–computer interactionArtificial intelligenceLinguisticsProgramming languagePhilosophyHand Gesture Recognition SystemsGaze Tracking and Assistive TechnologyRobotics and Automated Systems