Welcome to Sign Language Recognition for Deaf and Dumb — an innovative application designed to bridge communication gaps for the deaf and dumb community. Nidhi Sengar Department of Information Technology, Guru Gobind Sign Indraprastha University, Delhi, India Keywords—Sign language identification, Hidden Morkov Model,Artificial Neural Network, Data glove, Leap motion controller, Kinectic Sensor. It is the only mode of communication The system seamlessly integrates text and speech output for speech-impaired individuals, featuring continuous speech playback, reverse recognition for English alphabet input via speech, and About This repository contains python implementation for recognizing Indian sign language (ISL) gestures for deaf and dumb people. Throughout the endeavor, there were numerous Sign language recognition project with Python, CNN & OpenCV - Detect sign language and help dumb and deaf people in communicating with others Sign language is a language used for communication of the deaf and dumb (D&D) community. This project leverages the power of This repository aims to provide a solution for sign language recognition, specifically targeting the needs of deaf and mute individuals. It is most commonly used by deaf & dumb people who have hearing or speech problems to communicate This research explores the implementation of a robust system for sign language detection designed to facilitate communication for individuals who are deaf and In this study, a new language recognition system is proposed for the recognition of letters and gestures in the language. INTRODUCTION Sign language system is a way of Deaf and dumb people use sign language for their communication but it was difficult to understand by the normal people. This paper proposes a Pathfinder Algorithm-based Sign Language Recognition System for Assisting Deaf and Dumb People Using a Feature Extraction Model (PASLR-DDFEM) approach. Sign language is composed of some hand gestures, mouthing cues, and Real-Time Recognition: The app recognizes ASL gestures instantly, allowing users to communicate without any delays. The main feature of this work is that it can be used to learn sign The Indian sign language comprises of around 300 signs and the American Sign Language consists of more than 10000 different signs including a-z and 0-9, with so many different signs it is difficult for a Keywords: Deaf and Dumb, Visual Communication, Disability, Machine learning, Indian Sign Language, Sign Language Recognition, Abstract This research explores the implementation of a robust system for sign language detection designed to facilitate communication for individuals who are Real-Time Sign Language Recognition System For Deaf And Dumb People Furkan, Ms. Most of non-deaf-mute people do not understand sign language, which leads to many Since deaf Recognition for deaf & dumb (Hand Gesture Recognition and Voice Conversion) system localizes and track the hand gestures of the dumb and deaf people in order to maintain a . To avoid difficulties in communication among themselves and also among normal Video interpreter is responsible for helping deaf or hearing impaired individuals understand what is being said in a variety of situations. No more need for complicated translations — just sign, and the app will Abstract – Hand gesture is one of the methods used in sign language for non-verbal communication. It utilizes the YOLOv5 algorithm for real-time object detection, enabling 1 In Sign Language Recognition For Deaf And Dumb People Using Android Environment research paper highlights the primary means of communication for deaf and mute persons. For the deaf and dumb, an efficient real-time vision-based system for recognizing American sign language has been developed for asl alphabets. The aim of this project is to reduce the This document discusses a project aimed at improving communication for deaf and dumb individuals through a sign language recognition system using a glove Sign Language Recognition is a breakthrough for helping deaf-mute people and has been researched for many years. With the help of computer vision and neural networks, we can capture the signals This paper proposes a Pathfinder Algorithm-based Sign Language Recognition System for Assisting Deaf and Dumb People Using a Feature Extraction Model (PASLR-DDFEM) approach. I. Unfortunately, every research has its Sign language is the only way for deaf and mute people to represent their needs and feelings. This paper presents a real-time American Sign Language (ASL) recognition system utilizing a hybrid deep learning architecture combining 3D Convolutional Neural Networks (3D CNN) with Long Short Recently, many sign language recognition methods have been developed for helping deaf and dumb people [1]. The aim is to PDF | On Dec 29, 2025, Nadhem Nemri and others published Improving sign Language recognition system for assisting deaf and dumb people using pathfinder algorithm with representation Welcome to Sign Language Recognition for Deaf and Dumb — an innovative real-time application built to bridge communication gaps for the deaf The Sign language is very important for people who have hearing and speaking deficiency generally called Deaf And Mute.
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