Código QR (código de barras bidimensional)

Bidirectional Translation of ASL and English Using Machine Vision and CNN and Transformer Networks

This study presents a real-time, bidirectional system for translating American Sign Language (ASL) to and from English using computer vision and transformer-based models to enhance accessibility for deaf and hard of hearing users. Leveraging publicly available sign language and text–to-gloss dataset...

ver descrição completa

Na minha lista:
Principais autores: Stefanie Amiruzzaman, Md Amiruzzaman, Raga Mouni Batchu, James Dracup, Alexander Pham, Benjamin Crocker, Linh Ngo, M. Ali Akber Dewan
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-01-01
coleção:Computers
Assuntos:
ASL translation
transformer models
computer vision (MediaPipe)
gloss-to-sentence modeling
EfficientNet-B0 feature extraction
Acesso em linha:https://www.mdpi.com/2073-431X/15/1/20
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados