Results 1 to 10 of about 20,260 (228)

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   +3 more sources

Real-Time Norwegian Sign Language Recognition Using MediaPipe and LSTM [PDF]

Multimodal Technologies and Interaction
The 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, Costas Boletsis, Pål Rudshavn   +2 more
doaj   +4 more sources

Machine learning methods for sign language recognition: A critical review and analysis [PDF]

Intelligent Systems with Applications, 2021
Sign language is an essential tool to bridge the communication gap between normal and hearing-impaired people. However, the diversity of over 7000 present-day sign languages with variability in motion position, hand shape, and position of body parts ...
I.A. Adeyanju, O.O. Bello, M.A. Adegboye
doaj   +3 more sources

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment [PDF]

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as textual glosses. Recent studies show that insufficient training caused by the lack of large-scale available sign datasets becomes the main bottleneck for SLR. Most SLR works thereby adopt pretrained visual modules and develop two mainstream solutions.
Zheng, Jiangbin, Wang, Yile, Tan, Cheng, Li, Siyuan, Wang, Ge, Xia, Jun, Chen, Yidong, Li, Stan Z.   +7 more
openaire   +3 more sources

Sign Language Recognition Using Artificial Rabbits Optimizer with Siamese Neural Network for Persons with Disabilities [PDF]

Journal of Disability Research, 2023
Sign language recognition is an effective solution for individuals with disabilities to communicate with others. It helps to convey information using sign language.
Radwa Marzouk, Fadwa Alrowais, Fahd N. Al-Wesabi, Anwer Mustafa Hilal   +3 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

An Efficient Attention Model with Critical Frames Identification for Sign Language Recognition (CRAM-SLR)

Journal of Computational and Cognitive Engineering
Sign language recognition (SLR) plays a crucial role in enhancing communication accessibility for individuals who are deaf or hard of hearing. This paper introduces the convolutional recurrent attention model (CRAM), a novel deep learning framework specifically designed to improve recognition performance in low-resource sign languages such as Indian ...
Renjith Sasidharan, Aneesh Varghese, Manazhy Rashmi, Poorna S. Surendran   +3 more
openaire   +2 more sources

SL-SLR: Self-Supervised Representation Learning for Sign Language Recognition

Trans. Mach. Learn. Res.
Sign language recognition (SLR) is a machine learning task aiming to identify signs in videos. Due to the scarcity of annotated data, unsupervised methods like contrastive learning have become promising in this field. They learn meaningful representations by pulling positive pairs (two augmented versions of the same instance) closer and pushing ...
Madjoukeng, Ariel Basso, Fink, Jérôme, Poitier, Pierre, Kenmogne, Edith Belise, Frenay, Benoit   +4 more
openaire   +3 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 V, Nishanth K S, Navneeth K S, Prabhanjan Prashanth Bhat, Pranav Srinivas   +4 more
doaj   +2 more sources

Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons. [PDF]

Sci Rep
Sign language (SL) is an effective mode of communication, which uses visual–physical methods like hand signals, expressions, and body actions to communicate between the difficulty of hearing and the deaf community, produce opinions, and carry significant
Alabduallah B, Al Dayil R, Al Dayil R, Alkharashi A, Alneil AA.   +4 more
europepmc   +2 more sources