IEEE

Real-time Gesture Recognition for Sign Language Communication with CNN

Abstract: Communicating with hearing-impaired people is difficult. Meeting society's requirements requires developing systems that can recognize indications and notify people. Deaf-mute people now ...
CNN

App that translates speech to sign language in real-time wins top innovation prize

A Kenyan entrepreneur who designed an app that translates speech into sign language using AI-powered 3D avatars has won a major award for African innovation. “Think of it as Google Translate for sign ...
IEEE

Auralens: An Intelligent Hearing Companion for the Hearing Impaiblack using YOLO and Tensor Flow

Abstract: Hearing-impaiblack individuals face significant challenges in environmental awareness due to their inability to perceive auditory cues that indicate nearby objects and potential hazards.
IEEE

Real-Time Sign Language Recognition using Machine Learning and CNN-based EfficientNetB3 for Accessible Communication

Abstract: This research analyzes the challenges faced by Sign Language Recognition (SLR) systems by evaluating the performance of EfficientNetB3, Inception-v3, and GoogLeNet models. Using a dataset of ...
IEEE

NextGenConnect: Indian Sign Language Using 5-Layer CNN and MobileNetV2 Transfer Learning

Abstract: For individuals with hearing or speech disabilities sign language is an important form of communication tool, yet technological solutions for interpreting these gestures remain limited in ...
IEEE

Sign Language Recognition for Deaf People Using Novel HMM Compared with CNN and LSTM

Abstract: The aim of this study is to enhance sign language recognition for the deaf by implementing a HMM and improving its accuracy with the use of Convolutional Neural Networks (CNN) and Long Short ...
IEEE

SENYAS: A Filipino Sign Language Recognition System Using MediaPipe and CNN-LSTM

Abstract: Filipino Sign Language (FSL) is an important mode of communication for the deaf community in the Philippines yet the shortage of qualified interpreters creates barriers to effective ...
IEEE

Hand Motion Sign Language Detection Using Convolutional Neural Network (CNN) and YOLOv5 Object Detection Framework

Abstract: The majority of people who don't hear or speak depend upon sign language as their main method of communication. Sign language mastery presents particular difficulties to learners. Our system ...
IEEE

Enhanced Sign Language Recognition and Translation Framework Utilizing CNN-LSTM for Healthcare Integration

Abstract: Humans interact with each other through communication using languages. All over the world, each country has its own natural language and some standards for communicating with others. There ...
IEEE

Real-time Arabic Sign Language Recognition using CNN and OpenCV

Abstract: Sign language is the way of interacting for hearing impaired people. Each Sign language has multiple dialects. The world suffers from a lack of interaction between impaired and hearing ...
IEEE

Gesture Recognition for Argentinian Sign Language using CNN and LSTM

Abstract: Communication is still difficult for people who have difficulty hearing, especially since there aren't trained interpreters available. Visual conversation is possible with sign language, but ...