Automatic recognition of mexican sign language using a depth camera and recurrent neural networks

K Mejía-Peréz, DM Córdova-Esparza, J Terven… - Applied Sciences, 2022 - mdpi.com
Automatic sign language recognition is a challenging task in machine learning and
computer vision. Most works have focused on recognizing sign language using hand …

Spatial–temporal attention with graph and general neural network-based sign language recognition

ASM Miah, MAM Hasan, Y Okuyama… - Pattern Analysis and …, 2024 - Springer
Automatic sign language recognition (SLR) stands as a vital aspect within the realms of
human–computer interaction and computer vision, facilitating the conversion of hand signs …

Design of accessible university exams for deaf people

JR Rojano-Cáceres… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
In this paper we present the proposal for designing accessible exams for aspirants or in
general examinee users who are deaf or hard-of-hearing and which are users of sign …

[PDF][PDF] Desarrollo de una base de datos para el reconocimiento de la lengua de senas mexicana

K Mejıa-Pérez, DM Córdova-Esparza… - Res. Comput …, 2021 - rcs.cic.ipn.mx
El reconocimiento automático de la lengua de senas involucra tareas fundamentales para
su desarrollo, por ejemplo la adquisición de información para el entrenamiento y validación …

[引用][C] Sistema de reconocimiento del Lenguaje de Señas Mexicano basado en una cámara RGB-D y aprendizaje automático

KM Pérez - 2022