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Sign language recognition is a challenging and often underestimated problem comprising multi-modal articulators (handshape, orientation, movement, upper body and face) that integrate asynchronously on multiple streams. Learning powerful…

Computer Vision and Pattern Recognition · Computer Science 2019-11-22 Hamid Reza Vaezi Joze , Oscar Koller

Effective communication is paramount for the inclusion of deaf individuals in society. However, persistent communication barriers due to limited Sign Language (SL) knowledge hinder their full participation. In this context, Sign Language…

Computer Vision and Pattern Recognition · Computer Science 2024-05-01 Carlos Eduardo G. R. Alves , Francisco de Assis Boldt , Thiago M. Paixão

The people in the world who are hearing impaired face many obstacles in communication and require an interpreter to comprehend what a person is saying. There has been constant scientific research and the existing models lack the ability to…

Computer Vision and Pattern Recognition · Computer Science 2022-12-08 Shubham Thakar , Samveg Shah , Bhavya Shah , Anant V. Nimkar

Recent advancements in the field of computer vision with the help of deep neural networks have led us to explore and develop many existing challenges that were once unattended due to the lack of necessary technologies. Hand Sign/Gesture…

Computer Vision and Pattern Recognition · Computer Science 2023-05-12 Shahjalal Ahmed , Md. Rafiqul Islam , Jahid Hassan , Minhaz Uddin Ahmed , Bilkis Jamal Ferdosi , Sanjay Saha , Md. Shopon

While sign language translation systems promise to enhance deaf people's access to information and communication, they have been met with strong skepticism from deaf communities due to risks of misrepresenting and oversimplifying the…

Human-Computer Interaction · Computer Science 2026-02-12 Xinru Tang , Anne Marie Piper

This paper explores the use of Propositional Dynamic Logic (PDL) as a suitable formal framework for describing Sign Language (SL), the language of deaf people, in the context of natural language processing. SLs are visual, complete,…

Computation and Language · Computer Science 2014-03-27 Arturo Curiel , Christophe Collet

Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation (effectively recognizing the individual signs) improves the translation performance drastically. In fact, the current state-of-the-art in…

Computer Vision and Pattern Recognition · Computer Science 2020-04-02 Necati Cihan Camgoz , Oscar Koller , Simon Hadfield , Richard Bowden

Sign language, which is a medium of communication for deaf people, uses manual communication and body language to convey meaning, as opposed to using sound. This paper presents a prototype Malayalam text to sign language translation system.…

Computation and Language · Computer Science 2015-09-29 Jestin Joy , Kannan Balakrishnan

We present a method for recognition of isolated Swedish Sign Language signs. The method will be used in a game intended to help children training signing at home, as a complement to training with a teacher. The target group is not primarily…

Computer Vision and Pattern Recognition · Computer Science 2012-11-19 Saad Akram , Jonas Beskow , Hedvig Kjellstrom

Emotional voice communication plays a crucial role in effective daily interactions. Deaf and hard-of-hearing (DHH) individuals often rely on facial expressions to supplement sign language to convey emotions, as the use of voice is limited.…

Human-Computer Interaction · Computer Science 2024-12-10 Hyunchul Lim , Minghan Gao , Franklin Mingzhe Li , Nam Anh Dang , Ianip Sit , Michelle M Olson , Cheng Zhang

Sign Language Recognition (SLR) is an essential yet challenging task since sign language is performed with the fast and complex movement of hand gestures, body posture, and even facial expressions. %Skeleton Aware Multi-modal Sign Language…

Computer Vision and Pattern Recognition · Computer Science 2023-02-17 Maxim Novopoltsev , Leonid Verkhovtsev , Ruslan Murtazin , Dmitriy Milevich , Iuliia Zemtsova

Sign Language Assessment (SLA) tools are useful to aid in language learning and are underdeveloped. Previous work has focused on isolated signs or comparison against a single reference video to assess Sign Languages (SL). This paper…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Oliver Cory , Ozge Mercanoglu Sincan , Matthew Vowels , Alessia Battisti , Franz Holzknecht , Katja Tissi , Sandra Sidler-Miserez , Tobias Haug , Sarah Ebling , Richard Bowden

Sign language is the primary language for many Deaf and Hard-of-Hearing (DHH) signers, yet most conversational AI systems still mediate interaction through spoken or written language. This spoken-language-centered interface can limit access…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Youngmin Kim , Kyobin Choo , Jiwoo Park , Minseo Kim , Chanyoung Kim , Junhyeok Kim , Seong Jae Hwang

Sign language is commonly used by deaf or mute people to communicate but requires extensive effort to master. It is usually performed with the fast yet delicate movement of hand gestures, body posture, and even facial expressions. Current…

Computer Vision and Pattern Recognition · Computer Science 2021-10-13 Songyao Jiang , Bin Sun , Lichen Wang , Yue Bai , Kunpeng Li , Yun Fu

Computers still have a long way to go before they can interact with users in a truly natural fashion. From a users perspective, the most natural way to interact with a computer would be through a speech and gesture interface. Although…

Computation and Language · Computer Science 2013-04-12 Maher Jebali , Patrice Dalle , Mohamed Jemni

Deaf people are using sign language for communication, and it is a combination of gestures, movements, postures, and facial expressions that correspond to alphabets and words in spoken languages. The proposed Arabic sign language…

Computer Vision and Pattern Recognition · Computer Science 2023-01-10 Muhammad Al-Barham , Ahmad Jamal , Musa Al-Yaman

Our objective is to translate continuous sign language into spoken language text. Inspired by the way human interpreters rely on context for accurate translation, we incorporate additional contextual cues together with the signing video,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Youngjoon Jang , Haran Raajesh , Liliane Momeni , Gül Varol , Andrew Zisserman

There is an undeniable communication barrier between deaf people and people with normal hearing ability. Although innovations in sign language translation technology aim to tear down this communication barrier, the majority of existing sign…

Computer Vision and Pattern Recognition · Computer Science 2018-10-19 Biyi Fang , Jillian Co , Mi Zhang

Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort to master. Sign Language Recognition (SLR) aims to bridge the gap between sign language users and others by recognizing signs…

Computer Vision and Pattern Recognition · Computer Science 2021-05-04 Songyao Jiang , Bin Sun , Lichen Wang , Yue Bai , Kunpeng Li , Yun Fu

Sign language (SL) is an essential communication form for hearing-impaired and deaf people, enabling engagement within the broader society. Despite its significance, limited public awareness of SL often leads to inequitable access to…

Computation and Language · Computer Science 2025-09-04 Soukeina Elhassen , Lama Al Khuzayem , Areej Alhothali , Ohoud Alzamzami , Nahed Alowaidi