IEEE

Transformer Fusion and Residual Learning Group Classifier Loss for Long-Tailed Traffic Sign Detection

Abstract: Automatic traffic sign detection and recognition (ATDR) plays a crucial role as a submodule of the intelligent transportation system (ITS) and has gained significant attention in recent ...
IEEE

Sign Language to text Conversion Using Machine Learning (For Deaf and Mute People)

Abstract: This study is intended for those with speech problems, hearing loss, or deafness. For those who are hard of hearing or deaf, sign language is unique in that it serves as their primary and ...
IEEE

A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language

Abstract: In this article, we introduce a cost-effective and real-time intelligent system tailored to Pakistan sign language (PSL) recognition, aimed at facilitating communication for hearing-impaired ...
IEEE

Driving into the Future: Artificial Intelligence based Traffic Sign Recognition using Learning Assisted OCR Principle

Abstract: Managing the inventory of traffic signs relies heavily on automatic detection and recognition. It offers a precise and quick method of managing traffic-sign inventory with little human ...
IEEE

Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning

Abstract: In recent years, visual-based sign language recognition (SLR) has become an active research area with the advancement of deep learning. However, it is difficult to collect sign language data ...
Frontiers

Liberating the open and distance learning model from the chains of oppressive education theories

This study argues that open and distance learning (ODL) continues to function as a platform for producing factory-like workers and white-collar laborers whose primary function is to serve the ...
IEEE

Sign Language Recognition using Transfer Learning

Abstract: For the community of hearing-impaired people, sign language recognition is essential for bridging communication gaps. This paper provides a novel approach that combines transfer learning ...
IEEE

Comparative Efficacy of 2D and 3D Virtual Reality Games in American Sign Language Learning

Abstract: With ongoing advancements in virtual reality and gamification, researchers have started exploring their application in sign language learning, aiming at enhancing communication between ...
IEEE

Indian Sign Language Classification Using Transfer Learning

Abstract: In recent years, there has been increased interest in the field of machine learning to develop accurate and efficient Indian Sign Language (ISL) classification models. This interest stems ...
IEEE

Deep Learning-Based Sign Language Recognition: A Comprehensive Analysis

Abstract: In an increasingly interconnected world, fostering inclusivity is important, especially for individuals with disabilities. For the community with the people having hearing issues, sign ...
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How learning sign language boosts climate inclusion

In Zimbabwe, floods and droughts are becoming more frequent – and for deaf communities, the dangers are particularly serious. Douglas Mapeta offers free lessons in sign language to ensure vital ...