Deep computer vision with artificial intelligence based sign language recognition to assist hearing and speech-impaired individuals. [PDF]
Sci RepSign language (SL) is a non-verbal language applied by deaf and hard-of-hearing individuals for daily communication between them. Studies in SL recognition (SLR) have recently become essential developments.
Almjally A, Almukadi WS.
europepmc +2 more sources
Dynamic Kannada Sign Language Recognition on Resource Constrained Devices. [PDF]
Sci RepSign Language Recognition (SLR) systems have gained significant popularity in recent years. Despite the existence of various Deep Learning (DL) models to classify sign languages, the deployment of these models on resource-constrained devices remains a ...
Venkatappa U +4 more
europepmc +2 more sources
Real-Time Norwegian Sign Language Recognition Using MediaPipe and LSTM [PDF]
Multimodal Technologies and InteractionThe application of machine learning models for sign language recognition (SLR) is a well-researched topic. However, many existing SLR systems focus on widely used sign languages, e.g., American Sign Language, leaving other underrepresented sign languages
Md. Zia Uddin +5 more
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ConvAtt Network: A Low Parameter Approach For Sign Language Recognition
Journal of Computer Science and TechnologyDespite recent advances in Large Language Models in text processing, Sign Language Recognition (SLR) remains an unresolved task. This is, in part, due to limitations in the available data.
Facundo Quiroga +13 more
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Movement Epenthesis Detection for Continuous Sign Language Recognition
Journal of Intelligent Systems, 2017 Automatic sign language recognition (SLR) is a current area of research as this is meant to serve as a substitute for sign language interpreters. In this paper, we present the design of a continuous SLR system that can extract out the meaningful signs ...
Choudhury Ananya +3 more
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Improving sign Language recognition system for assisting deaf and dumb people using pathfinder algorithm with representation learning model. [PDF]
Sci RepFor 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
Nemri N +3 more
europepmc +2 more sources
Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty-Aware Soft Sensor Paradigm. [PDF]
Sensors (Basel)Uncertainty-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 ...
Al-Saidi M +3 more
europepmc +2 more sources
Empirical Analysis of Signature-Based Sign Language Recognition [PDF]
Mehran University Research Journal of Engineering and Technology, 2014 The significance of automated SLR (Sign Language Recognition) proved not only in the deaf community but in various other spheres of life. The automated SLR are mainly based on the machine learning methods.PSL (Pakistani Sign Language)is an emerging area ...
Sumaira Kausar +2 more
core +1 more source
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).
Rawf KMH.
europepmc +2 more sources
A Novel Communication System For Deaf And Dumb People using gesture [PDF]
ITM Web of Conferences, 2020 Human Beings know each other and contact with themselves through thoughts and ideas.The best way to present our idea is through speech. Some people don’t have the power of speech; the only way they communicate with others is through sign language.
Ambavane Pritesh +5 more
doaj +1 more source