Engineering

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org
"Automatic Mexican Sign Language Recognition Using Normalized Moments and Artificial Neural Networks"
written by Francisco Solís, David Martínez, Oscar Espinoza,
published by Engineering, Vol.8 No.10, 2016
has been cited by the following article(s):
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  • CrossRef
[1] Automatic recognition of Mexican Sign Language using a depth camera and recurrent neural networks
Peréz, DM Córdova-Esparza, J Terven… - Applied Sciences, 2022
[2] A Prototype for Mexican Sign Language Recognition and Synthesis in Support of a Primary Care Physician
Jiménez, HV Ríos-Figueroa… - IEEE …, 2022
[3] Use of Spherical and Cartesian Features for Learning and Recognition of the Static Mexican Sign Language Alphabet
Figueroa, AJ Sánchez-García… - Mathematics, 2022
[4] Sign Language Recognition Using Machine Learning
… -systems and Signal …, 2022
[5] Desarrollo e implementación de un sistema de identificación de signos de la lengua de señas mexicana basado en redes neuronales y el sistema embebido Jetson …
REPOSITORIO NACIONAL CONACYT, 2022
[6] FACULTADE DE INFORMÁTICA
2022
[7] Real-time Mexican sign language interpretation using CNN and HMM
… Conference on Artificial …, 2021
[8] Mexican Sign‐Language Static‐Alphabet Recognition Using 3D Affine Invariants
2021
[9] Development of A Computer Aided Real-Time Interpretation System for Indigenous Sign Language in Nigeria Using Convolutional Neural Network
2021
[10] Research on Communication APP for Deaf and Mute People Based on Face Emotion Recognition Technology
2020
[11] Turkish sign language digits classification with CNN using different optimizers
2020
[12] Deep Architectures for Visual Recognition and Description
2020
[13] Proposal for an Interactive Software System Design for Learning Mexican Sign Language with Leap Motion
2020
[14] Unravelling of Convolutional Neural Networks through Bharatanatyam Mudra Classification with Limited Data
2020
[15] Traducción del lenguaje de señas usando visión por computadora.
2019
[16] The uses of technology in L1 and L2/Ln sign language pedagogy
2019
[17] A Comparative Study of Certain Classifiers for Bharatanatyam Mudra Images' Classification using Hu-Moments
2019
[18] A Comparative Study of Suitability of Certain Features in Classification of Bharatanatyam Mudra Images Using Artificial Neural Network
2019
[19] Transfer Learning for Classifying Single Hand Gestures on Comprehensive Bharatanatyam Mudra Dataset
2019
[20] Suitability study of certain features and classifiers for Bharatanatyam double-hand mudra images
2019
[21] Sign Recognition System for an Assistive Robot Sign Tutor for Children
2019
[22] Traductor Automático de la Lengua de Signos Española a Español mediante Visión por Computador y Redes Neuronales.
2019
[23] Traducción del lenguaje de senas usando visión por computadora
2019
[24] The Routledge handbook of sign language pedagogy
2019
[25] Traductor automático de la lengua de signos española a español mediante visión por computador y redes
2019
[26] Discrimination of Dual-Arm Motions Using a Joint Posterior Probability Neural Network for Human-Robot Interfaces
Handbook of Research on Biomimetics and Biomedical Robotics, 2018
[27] Bridging Communication Gap Among People with Hearing Impairment: An Application of Image Processing and Artificial Neural Network
2018
[28] Real-time Mexican Sign Language recognition
2017
[29] Interactive Games with an Assistive Robotic System for Hearing-Impaired Children.
2017
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