A comprehensive review on sign language recognition using machine learning
J Singh, D Singh - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
The people of the dumb and deaf community adopt sign language to talk with one another.
Sign language is an effective method for the interaction between speech and hearing …
Sign language is an effective method for the interaction between speech and hearing …
ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition
In this paper, a lightweighted Intensive Feature Extrication Deep Network (ExtriDeNet) is
proposed for precise hand gesture recognition (HGR). ExtriDeNet primarily consists of two …
proposed for precise hand gesture recognition (HGR). ExtriDeNet primarily consists of two …
[HTML][HTML] Efficient deep learning models based on tension techniques for sign language recognition
NF Attia, MTFS Ahmed, MAM Alshewimy - Intelligent systems with …, 2023 - Elsevier
Communication by speaking prevails among the various ways of self-expression and
communication between people. Speech presents a significant challenge for some disabled …
communication between people. Speech presents a significant challenge for some disabled …
A model for qur'anic sign language recognition based on deep learning algorithms
Deaf and dumb Muslims cannot reach advanced levels of education due to the impact of
obstruction on their educational attainment. This leads to their inability to learn, recite, and …
obstruction on their educational attainment. This leads to their inability to learn, recite, and …
Towards audio-based identification of Ethio-Semitic languages using recurrent neural network
In recent times, there is an increasing interest in employing technology to process natural
language with the aim of providing information that can benefit society. Language …
language with the aim of providing information that can benefit society. Language …
Ethiopian sign language recognition using deep convolutional neural network
In recent years, several technologies have been utilized to bridge the communication gap
between persons who have hearing or speaking impairments and those who don't. This …
between persons who have hearing or speaking impairments and those who don't. This …
Ethio-Semitic language identification using convolutional neural networks with data augmentation
In today's digital world, natural language is used to exchange information among humans,
and it has now advanced to the point of being an evolution criteria for technology. The …
and it has now advanced to the point of being an evolution criteria for technology. The …
Evaluation of part of speech tagger approaches for the amharic language: a review
WB Demilie, AO Salau… - 2022 9th International …, 2022 - ieeexplore.ieee.org
Accurately tagging correct grammar for individual words in a sentence is a critical task for
natural language processing applications. Different deep and machine learning-oriented …
natural language processing applications. Different deep and machine learning-oriented …
Vision-based Pakistani sign language recognition using bag-of-words and support vector machines
In order to perform their daily activities, a person is required to communicating with others.
This can be a major obstacle for the deaf population of the world, who communicate using …
This can be a major obstacle for the deaf population of the world, who communicate using …
A simple and effective static gesture recognition method based on attention mechanism
L Zhang, Q Tian, Q Ruan, Z Shi - Journal of Visual Communication and …, 2023 - Elsevier
To solve the problem of low sign language recognition rate under the condition of small
samples, a simple and effective static gesture recognition method based on an attention …
samples, a simple and effective static gesture recognition method based on an attention …