Continuous Sign Language Recognition with Correlation Network [PDF]
Computer Vision and Pattern Recognition, 2023 Human body trajectories are a salient cue to identify actions in the video. Such body trajectories are mainly conveyed by hands and face across consecutive frames in sign language.
Lianyu Hu +3 more
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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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Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2019 Vision-based sign language recognition aims at helping the deaf people to communicate with others. However, most existing sign language datasets are limited to a small number of words.
Dongxu Li +3 more
semanticscholar +1 more source
A Proposed Model for Standard Arabic Sign Language Recognition Based on Multiplicative Neural Network [PDF]
The Egyptian Journal of Language Engineering, 2014 Sign language recognition is one of the most challenging fields in Human-Computer Interface (HCI) applications.Although there are many obstacles that could dramatically limit the spread of sign language translators in our daily life, the community needs ...
Ahmed Samir +2 more
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Arabic Sign Language Recognition System: Using an Image-Based hand Gesture Detection Method to help Deaf and Dump Children to Engage in Education [PDF]
Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2023 Hand gestures help individuals communicate in daily life. Sign languages, however, employ hand motions extensively. People with hearing impairments use sign language.
Amr Mohmed Soliman +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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CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment [PDF]
Computer Vision and Pattern Recognition, 2023 Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as textual glosses. Recent studies show that insufficient training caused by the lack of large-scale available sign datasets becomes the main bottleneck for SLR.
Jiang-Bin Zheng +7 more
semanticscholar +1 more source
Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey [PDF]
BIO Web of ConferencesRecognizing sign language is one of the most challenging tasks of our time. Researchers in this field have focused on different types of signaling applications to get to know typically, the goal of sign language recognition is to classify sign language ...
Hussein Zahraa A. +2 more
doaj +1 more source
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition [PDF]
Neural Information Processing Systems, 2023 Sign languages are used as a primary language by approximately 70 million D/deaf people world-wide. However, most communication technologies operate in spoken and written languages, creating inequities in access.
Aashaka Desai +10 more
semanticscholar +1 more source