Results 61 to 70 of about 5,743,277 (287)

Isolated Arabic Sign Language Recognition Using a Transformer-based Model and Landmark Keypoints

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023
Pose-based approaches for sign language recognition provide light-weight and fast models that can be adopted in real-time applications. This article presents a framework for isolated Arabic sign language recognition using hand and face keypoints.
Sarah N. Alyami, Hamzah Luqman, Mohammad Hammoudeh   +2 more
semanticscholar   +1 more source

Recognizing multiclass Static Sign Language words for deaf and dumb people of Bangladesh based on transfer learning techniques

Informatics in Medicine Unlocked, 2022
Sign language is a language used for communication of the deaf and dumb (D&D) community. To avoid difficulties in communication among themselves and also among normal people, transfer learning-based automatic sign language recognition can play a great ...
Md. Monirul Islam, Md. Rasel Uddin, Md. Nasim AKhtar, K.M. Rafiqul Alam   +3 more
doaj   +1 more source

IoT Based Sign Language Recognition System [PDF]

, 2020
Sign language is the key communication medium which deaf and mute people use in their day-to-day life Talking to disabled people will cause a difficult situation since a non- mute person cannot understand their hand gestures and in many instances mute ...
Raveen Wijayawickrama, Achintha Chanaka, Ravini Premachandra, Thilan Punsara   +3 more
core  

A multistage hierarchical algorithm for hand shape recognition [PDF]

, 2009
This paper represents a multistage hierarchical algorithm for hand shape recognition using principal component analysis (PCA) as a dimensionality reduction and a feature extraction method.
Shoukry, Amin A., Sutherland, Alistair, Mohamed Farouk, Farouk, Mohamed, Amin A. Shoukry, Alistair Sutherland   +5 more
core   +2 more sources

A survey on sign language literature

Machine Learning with Applications, 2023
Individuals with hearing impairment encounter various types and levels of difficulties, highlighting the need for more research to provide effective support. One significant difficulty is communication and interaction with others.
Marie Alaghband, Hamid Reza Maghroor, Ivan Garibay   +2 more
doaj   +1 more source

Deep Learning Approaches for Continuous Sign Language Recognition: A Comprehensive Review

IEEE Access
Sign language uses hand gestures as a visual mode of communication, along with body actions and facial expressions. Due to the increasing incidence of hearing deficiencies, the field of Continuous Sign Language Recognition (CSLR) has seen a considerable ...
Asma Khan, Se-Yong Jin, Geon-Hee Lee, Gul E. Arzu, L. Dang, Tan N. Nguyen, Woong Choi, Hyeonjoon Moon   +7 more
semanticscholar   +1 more source

Deep Learning in Sign Language Recognition: A Hybrid Approach for the Recognition of Static and Dynamic Signs

Mathematics, 2023
A speech impairment limits a person’s capacity for oral and auditory communication. A great improvement in communication between the deaf and the general public would be represented by a real-time sign language detector.
Ahmed Mateen Buttar, U. Ahmad, A. Gumaei, A. Assiri, Muhammad Azeem Akbar, B. Alkhamees   +5 more
semanticscholar   +1 more source

Continuous Sign Language Recognition System Using Deep Learning with MediaPipe Holistic [PDF]

Wireless personal communications
Sign languages are the language of hearing-impaired people who use visuals like the hand, facial, and body movements for communication. There are different signs and gestures representing alphabets, words, and phrases.
Sharvani Srivastava, Sudhakar Singh, Pooja, Shiv Prakash   +3 more
semanticscholar   +1 more source

Isolated sign recognition using ASL datasets with consistent text-based gloss labeling and curriculum learning [PDF]

, 2022
We present a new approach for isolated sign recognition, which combines a spatial-temporal Graph Convolution Network (GCN) architecture for modeling human skeleton keypoints with late fusion of both the forward and backward video streams, and we explore ...
Neidle, Carol, Dafnis, Konstantinos M., Chroni, Evgenia, Metaxas, Dimitris N.   +3 more
core   +1 more source

SIGNFORMER: DeepVision Transformer for Sign Language Recognition

IEEE Access, 2023
Sign language is the most common form of communication for the hearing impaired. To bridge the communication gap with such impaired people, a normal people should be able to recognize the signs.
Deep R. Kothadiya, Chintan M. Bhatt, T. Saba, A. Rehman, Saeed Ali Omer Bahaj   +4 more
semanticscholar   +1 more source