Results 1 to 10 of about 33,490 (247)
A dynamic Malaysian sign language dataset for sign language recognition and translationZenodoZenodo [PDF]
Data in BriefSign languages all around the world are unique and diverse. Each sign language shows the differences in cultural nuances of its origin locale giving it is distinctive nature.
Yuan Ting Chong +6 more
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Sign Language Recognition Using the Electromyographic Signal: A Systematic Literature Review [PDF]
Sensors, 2023 The analysis and recognition of sign languages are currently active fields of research focused on sign recognition. Various approaches differ in terms of analysis methods and the devices used for sign acquisition.
Amina Ben Haj Amor +2 more
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Video-Based Sign Language Recognition via ResNet and LSTM Network [PDF]
Journal of ImagingSign language recognition technology can help people with hearing impairments to communicate with non-hearing-impaired people. At present, with the rapid development of society, deep learning also provides certain technical support for sign language ...
Jiayu Huang, Varin Chouvatut
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A Static Sign Language Recognition Method Enhanced with Self-Attention Mechanisms [PDF]
SensorsFor the current wearable devices in the application of cross-diversified user groups, it is common to face the technical difficulties of static sign language recognition accuracy attenuation, weak anti-noise ability, and insufficient system robustness ...
Yongxin Wang +3 more
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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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International journal of health sciences, 2022 There is an absence of communication with deaf people in our society. To overcome this barrier the introduction of Sign Language (SL) took place. To convey meaning to normal people, sign language makes use of patterns that are visually transmitted sign patterns.
C Nallusamy +3 more
+6 more sources
Sign Language Recognition [PDF]
International Research Journal on Advanced Science Hub, 2021 The goal of this project is to provide a Human Computer Interaction system to resolve the problem faced by the deaf and dumb people. Since the algorithm is not designed on the base of background hand gestures, it is immune to changes in the background image.
null Keerthana P +4 more
+5 more sources
2023 9th International Conference on Information Technology Trends (ITT), 2023 Abstract: People communicate using sign language by visually conveying sign patterns to portray purpose. One method of communicating with deaf-mute people is to use sign language mechanisms. One of the nonverbal communication strategies used in sign language is the hand gesture.
Harshita Khubchandani, Karthick T
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Sign language recognition based on dual-path background erasure convolutional neural network [PDF]
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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