A study on Arabic sign language recognition for differently abled using advanced machine learning classifiers
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-01790-w
Abstract: This study is proposed to review the sign language recognition system based on different classifier techniques. Mostly the Neural Network and Deep Learning-based classifiers were utilized to recognize the different sign languages and this survey… read more here.
Keywords: recognition; language recognition; arabic sign; sign language ... See more keywords
AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-25637-w
Abstract: Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/speech impaired and the non-signers. The general glove solutions, which are employed to detect motions of our… read more here.
Keywords: communication; language recognition; recognition; enabled sign ... See more keywords
Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993650
Abstract: Continuous Sign Language Recognition (CSLR) refers to the challenging problem of recognizing sign language glosses and their temporal boundaries from weakly annotated video sequences. Previous methods focus mostly on visual feature extraction neglecting text information… read more here.
Keywords: video; language recognition; cross modal; sign ... See more keywords
SignBERT: A BERT-Based Deep Learning Framework for Continuous Sign Language Recognition
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3132668
Abstract: Continuous sign language recognition (CSLR) is a very challenging task in intelligent systems, since it requires to produce real-time responses while performing computationally intensive video analytics and language modeling. Previous studies mainly focus on adopting… read more here.
Keywords: language; language recognition; continuous sign; sign ... See more keywords
Technological solutions for sign language recognition: a scoping review of research trends, challenges, and opportunities
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161440
Abstract: Sign languages are critical in conveying meaning by the use of a visual-manual modality and are the primary means of communication of the deaf and hard of hearing with their family members and with the… read more here.
Keywords: language recognition; language; sign language; sign languages ... See more keywords
A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3219430
Abstract: Sign language is the predominant mode of communication for the Hearing impaired community. For the millions of people who suffer from hearing loss around the world, interaction with people who have the ability to hear… read more here.
Keywords: recognition; language recognition; review; 2017 2022 ... See more keywords
Signgraph: An Efficient and Accurate Pose-Based Graph Convolution Approach Toward Sign Language Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3247761
Abstract: Sign language recognition (SLR) enables the deaf and speech-impaired community to integrate and communicate effectively with the rest of society. Word level or isolated SLR is a fundamental yet complex task with the main objective… read more here.
Keywords: sign language; language recognition; pose based;
A Novel Chinese Sign Language Recognition Method Based on Keyframe-Centered Clips
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2797228
Abstract: Isolated sign language recognition (SLR) is a long-standing research problem. The existing methods consider inclusively ambiguous data to represent a sign and ignore the fact that only scarce key information can represent the sign efficiently… read more here.
Keywords: method based; based keyframe; language recognition; sign ... See more keywords
Language Recognition using Neural Phone Embeddings and RNNLMs
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2018.8447373
Abstract: New advances in Language Identification (LID) using Recurrent Neural Networks (RNNs) and Neural Embeddings have been proposed recently. While their application has been successfully applied at a word level, results at a phoneme level may… read more here.
Keywords: language recognition; using neural; neural embeddings; phone ... See more keywords
MEN: Mutual Enhancement Networks for Sign Language Recognition and Education.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3174031
Abstract: The performance of existing sign language recognition approaches is typically limited by the scale of training data. To address this issue, we propose a mutual enhancement network (MEN) for joint sign language recognition and education.… read more here.
Keywords: language recognition; system; language; sign language ... See more keywords