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Continuous Arabic Sign Language Recognition Models [PDF]
SensorsA significant communication gap persists between the deaf and hearing communities, often leaving deaf individuals isolated and marginalised. This challenge is especially pronounced for Arabic-speaking individuals, given the lack of publicly available ...
Nahlah Algethami +5 more
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American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach
Sensors, 2018 Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Teak-Wei Chong, Boon-Giin Lee
doaj +3 more sources
Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application. [PDF]
Sensors (Basel)Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of signs made using hand gestures combined with facial expressions to make meaningful and complete sentences. The problem that faces deaf and hard-of-hearing people is
Al Khuzayem L +4 more
europepmc +2 more sources
Nature Communications, 2021 Though wearable gloves are widely used for gesture associated applications (e.g. sign language recognition), sentence identification of sign language remains a challenge.
Feng Wen +3 more
doaj +2 more sources
Sign language recognition based on dual-path background erasure convolutional neural network
Scientific ReportsSign language is an important way to provide expression information to people with hearing and speaking disabilities. Therefore, sign language recognition has always been a very important research topic.
Junming Zhang +5 more
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Survey of Sign Language Recognition and Translation [PDF]
Jisuanji kexue yu tansuo, 2022 Different from spoken languages, sign language is mainly composed of continuous gestures. Sign langu-age recognition and translation are important means of facilitating barrier-free communication between the hearing-impaired and the hearing person.
YAN Siyi, XUE Wanli, YUAN Tiantian
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Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [PDF]
Jisuanji kexue, 2022 Enabling computers to understand the expressions of signers has been a challenging task that requires considering not only the temporal and spatial information of sign language videos,but also the complexity of sign language grammar.In the continuous ...
ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong
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Two-Stream Network for Sign Language Recognition and Translation [PDF]
Neural Information Processing Systems, 2022 Sign languages are visual languages using manual articulations and non-manual elements to convey information. For sign language recognition and translation, the majority of existing approaches directly encode RGB videos into hidden representations.
Yutong Chen +5 more
semanticscholar +1 more source
Skeleton Aware Multi-modal Sign Language Recognition [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 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 from given ...
Songyao Jiang +5 more
semanticscholar +1 more source
Smart Application for Thai and English Sign Language Translation
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2023 Currently, the sign language is used as a means of communication for individuals with hearing impairments. Since most people do not have knowledge to use sign language, as a result, miscommunication may occur.
Sahachok Khumwongsa, Wiyada Yawai
doaj +1 more source