IEEE AccessThe Deaf are a large social group in society. Their unique way of communicating through sign language is often confined within their community due to limited understanding by individuals outside of this demographic.
Tangfei Tao +3 more
doaj +2 more sources
Part-Wise Graph Fourier Learning for Skeleton-Based Continuous Sign Language Recognition [PDF]
Journal of ImagingSign language is a visual language articulated through body movements. Existing approaches predominantly leverage RGB inputs, incurring substantial computational overhead and remaining susceptible to interference from foreground and background noise.
Dong Wei, Hongxiang Hu, Gang-Feng Ma
doaj +2 more sources
Pose-Based Static Sign Language Recognition with Deep Learning for Turkish, Arabic, and American Sign Languages [PDF]
SensorsAdvancements in artificial intelligence have significantly enhanced communication for individuals with hearing impairments. This study presents a robust cross-lingual Sign Language Recognition (SLR) framework for Turkish, American English, and Arabic ...
Rıdvan Yayla +2 more
doaj +2 more sources
Improving sign Language recognition system for assisting deaf and dumb people using pathfinder algorithm with representation learning model [PDF]
Scientific ReportsFor many individuals, communication through sign language (SL) is the primary means of interacting with the world, and the potential applications of effective SL Recognition (SLR) systems are vast and far-reaching. SLR is a research area dedicated to the
Nadhem Nemri +3 more
doaj +2 more sources
Harnessing attention-driven hybrid deep learning with combined feature representation for precise sign language recognition to aid deaf and speech-impaired people. [PDF]
Sci RepSpeech is the primary form of communication; still, there are people whose hearing or speaking skills are disabled. Communication offers an essential hurdle for people with such an impairment.
Almjally A +3 more
europepmc +2 more sources
IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition. [PDF]
Sci RepDeaf and hard-of-hearing people utilize sign language recognition (SLR) to interconnect. Sign language (SL) is vital for hard-of-hearing and deaf individuals to communicate. SL uses varied hand gestures to speak words, sentences, or letters.
Maashi M, Iskandar HG, Rizwanullah M.
europepmc +2 more sources
Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty–Aware Soft Sensor Paradigm [PDF]
SensorsUncertainty-aware soft sensors in sign language recognition (SLR) integrate methods to quantify and manage the uncertainty in their predictions. This is particularly crucial in SLR due to the variability in sign language gestures and differences in ...
Muslem Al-Saidi +3 more
doaj +2 more sources
Sign language recognition using modified deep learning network and hybrid optimization: a hybrid optimizer (HO) based optimized CNNSa-LSTM approach. [PDF]
Sci RepSpeech impairment limits a person’s capacity for oral and auditory communication. Improvements in communication between the deaf and the general public can be progressed by a real-time sign language detector.
Baihan A +3 more
europepmc +2 more sources
KuSL2023: A standard for Kurdish sign language detection and classification using hand tracking and machine learning [PDF]
MethodsXSign Language Recognition (SLR) plays a vital role in enhancing communication for the deaf and hearing-impaired communities, yet there has been a lack of resources for Kurdish Sign Language (KuSL).
Karwan M. Hama Rawf
doaj +2 more sources
Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset
IEEE AccessSign Language Recognition (SLR) represents a revolutionary technology aiming to establish communication between hearing impaired and non-hearing impaired communities, surpassing traditional interpreter-based approaches. Existing efforts in automatic sign
Abu Saleh Musa Miah +3 more
doaj +2 more sources