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Word separation in continuous sign language using isolated signs and post-processing ...
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Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language ...
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ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language ...
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TFS Recognition: Investigating MPH]{Thai Finger Spelling Recognition: Investigating MediaPipe Hands Potentials ...
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Sign Language Video Retrieval with Free-Form Textual Queries ...
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Sign Language Recognition System using TensorFlow Object Detection API ...
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Abstract:
Communication is defined as the act of sharing or exchanging information, ideas or feelings. To establish communication between two people, both of them are required to have knowledge and understanding of a common language. But in the case of deaf and dumb people, the means of communication are different. Deaf is the inability to hear and dumb is the inability to speak. They communicate using sign language among themselves and with normal people but normal people do not take seriously the importance of sign language. Not everyone possesses the knowledge and understanding of sign language which makes communication difficult between a normal person and a deaf and dumb person. To overcome this barrier, one can build a model based on machine learning. A model can be trained to recognize different gestures of sign language and translate them into English. This will help a lot of people in communicating and conversing with deaf and dumb people. The existing Indian Sing Language Recognition systems are designed ... : 14 pages, 5 figures, ANTIC 2021 ...
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Keyword:
Artificial Intelligence cs.AI; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG; Multimedia cs.MM
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URL: https://dx.doi.org/10.48550/arxiv.2201.01486 https://arxiv.org/abs/2201.01486
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Τρισδιάστατη ανακατασκευή ανθρωπίνου σώματος, χεριών και προσώπου με εφαρμογές στην αναγνώριση νοηματικής γλώσσας ...
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Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation ...
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hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework ...
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SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition ...
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3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos ...
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EnvEdit: Environment Editing for Vision-and-Language Navigation ...
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IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ...
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IterVM: Iterative Vision Modeling Module for Scene Text Recognition ...
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