Results 1 to 10 of about 513 (127)

Korean Sign Language Recognition Using Transformer-Based Deep Neural Network

Applied Sciences, 2023
Sign language recognition (SLR) is one of the crucial applications of the hand gesture recognition and computer vision research domain. There are many researchers who have been working to develop a hand gesture-based SLR application for English, Turkey ...
Jungpil Shin, Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Koki Hirooka, Kota Suzuki, Hyoun-Sup Lee, Si-Woong Jang   +6 more
doaj   +3 more sources

SignVLM: a pre-trained large video model for sign language recognition [PDF]

PeerJ Computer Science
Sign language recognition (SLR) plays a vital role in including people with hearing impairment in the community. It facilitates the recognition of sign gestures and converts them into spoken languages.
Hamzah Luqman
doaj   +3 more sources

Re-Evaluation Method by Index Finger Position in the Face Area Using Face Part Position Criterion for Sign Language Recognition

Sensors, 2023
Several researchers have proposed systems with high recognition rates for sign language recognition. Recently, there has also been an increase in research that uses multiple recognition methods and further fuses their results to improve recognition rates.
Noriaki Hori, Masahito Yamamoto
doaj   +3 more sources

A Comprehensive Review of SLR Systems: Challenges, Datasets, and Unresolved Gaps [PDF]

Journal of Imaging
With the rapid advancement of sensor technologies, automated sign language recognition (SLR) has emerged as a critical enabler of inclusive communication systems for individuals with hearing and speech impairments.
Aigerim Yerimbetova, Ulmeken Berzhanova, Marek Milosz, Bakzhan Sakenov, Elmira Daiyrbayeva, Lyailya Cherikbayeva   +5 more
doaj   +2 more sources

An Recognition–Verification Mechanism for Real-Time Chinese Sign Language Recognition Based on Multi-Information Fusion

Sensors, 2019
For online sign language recognition (SLR) based on inertial measurement unit (IMU) and a surface electromyography (sEMG) sensor, achieving high-accuracy is a major challenge.
Fei Wang, Shusen Zhao, Xingqun Zhou, Chen Li, Mingyao Li, Zhen Zeng   +5 more
doaj   +3 more sources

Deep computer vision with artificial intelligence based sign language recognition to assist hearing and speech-impaired individuals [PDF]

Scientific Reports
Sign 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.
Abrar Almjally, Wafa Sulaiman Almukadi
doaj   +2 more sources

Part-Wise Graph Fourier Learning for Skeleton-Based Continuous Sign Language Recognition [PDF]

Journal of Imaging
Sign 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

Dynamic Kannada Sign Language Recognition on Resource Constrained Devices [PDF]

Scientific Reports
Sign 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 ...
Umadevi Venkatappa, Nishanth K S, Navneeth K S, Prabhanjan Prashanth Bhat, Pranav Srinivas   +4 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 Reports
For 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, Mohammed Yahya Alzahrani, Wided Bouchelligua, Amani A. Alneil   +3 more
doaj   +2 more sources

Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty–Aware Soft Sensor Paradigm [PDF]

Sensors
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 ...
Muslem Al-Saidi, Áron Ballagi, Oday Ali Hassen, Saad M. Saad   +3 more
doaj   +2 more sources