Results 11 to 20 of about 33,490 (247)
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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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
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Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
Sensors, 2023 Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people.
Kanchon Kanti Podder +9 more
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International Journal for Research in Applied Science and Engineering TechnologyThis paper presents a novel real-time sign language detection system designed to enhance communication between the deaf and hard-of-hearing community and non-signers. Utilizing standard web cameras, the system captures and analyses hand and facial gestures, employing advanced computer vision and deep learning techniques to recognize sign language ...
Dr. Geetha M, Bhoomika H S
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Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network
Sensors, 2021 Continuous sign language recognition is a weakly supervised task dealing with the identification of continuous sign gestures from video sequences, without any prior knowledge about the temporal boundaries between consecutive signs.
Ilias Papastratis +2 more
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A Novel Communication System For Deaf And Dumb People using gesture [PDF]
ITM Web of Conferences, 2020 Human Beings know each other and contact with themselves through thoughts and ideas.The best way to present our idea is through speech. Some people don’t have the power of speech; the only way they communicate with others is through sign language.
Ambavane Pritesh +5 more
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IEEE Access, 2023 The speech and hearing-impaired community use sign language as the primary means of communication. It is quite challenging for the general population to interpret or learn sign language completely.
E. Rajalakshmi +8 more
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Towards Zero-Shot Sign Language Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 This paper tackles the problem of zero-shot sign language recognition (ZSSLR), where the goal is to leverage models learned over the seen sign classes to recognize the instances of unseen sign classes. In this context, readily available textual sign descriptions and attributes collected from sign language dictionaries are utilized as semantic class ...
Yunus Can Bilge +2 more
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Machine learning methods for sign language recognition: A critical review and analysis
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
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2017 International Conference on Computer Science and Engineering (UBMK), 2017 Millions of people around the world suffer from hearing disability. This large number demonstrates the importance of developing a sign language recognition system converting sign language to text for sign language to become clearer to understand without a translator. In this paper, a sign language recognition system using Backpropagation Neural Network
Karayilan, Tulay, KILIÇ, ÖZKAN
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