Detection of Phonetic Units of the Mexican Sign Language

Martínez-Guevara, Niels; Rojano-Cáceres, José-Rafael; Curiel, Arturo

doi:10.1109/contie49246.2019.00040

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Cited by 3 publications

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“…The authors used a CNN-based approach which was similar to LeNet like architecture. A phonetic-based Mexican sign language recognition system was proposed by Guevara et al [7]. They had taken raw sign language video and applied expectation maximization algorithm for unsupervised clustering of Mexical phonetics.…”

Section: Introductionmentioning

confidence: 99%

Automatic Sign Language Identification Using Convolutional Neural Network

Mukherjee

Dhar

Obaidullah

et al. 2021

Advances in Intelligent Systems and Computing

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Sign language is the mode of communication for such people who are not blessed with the gift of hearing and speech. It involves the use of hands and facial expressions, Understanding sign language is difficult for people with no prior knowledge. This leads to a communication gap for such people. An automated sign language identification system can aid in reducing this gap. Here, a system is presented to automatically identify sign language. Experiments were performed on the publicly available sign language MNIST dataset. The highest accuracy of 99.98% was obtained in this study with a convolutional neural network-based approach.

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Section: Introductionmentioning

confidence: 99%