42 results on '"Sign language -- Research"'
Search Results
2. UK's first BSL-inclusive street paving way for deaf children to be included on Halloween trick or treating for first time; New research found that 79% of deaf children feel like they're missing out on the fun of Halloween and nearly half (45%) have skipped festivities altogether through fear of not being understood
3. UK's first BSL-inclusive street paving way for deaf children to be included on Halloween trick or treating for first time; New research found that 79% of deaf children feel like they're missing out on the fun of Halloween and nearly half (45%) have skipped festivities altogether through fear of not being understood
4. Research on Engineering Discussed by Researchers at Osaka Prefecture University (Word-Level Sign Language Recognition With Multi-Stream Neural Networks Focusing on Local Regions and Skeletal Information)
5. Reports Summarize Androids Research from Universidad de La Sabana (Learning signs with NAO: humanoid robot as a tool for helping to learn Colombian Sign Language)
6. Alexandria University Researchers Update Current Study Findings on Anxiety Disorders (Effectiveness of virtual reality glasses with integrated sign language in reducing dental anxiety during pulpotomy in children with hearing impairment: a ...)
7. Research Conducted at King Khalid University Has Provided New Information about Machine Learning (Automated Gesture Recognition Using Applied Linguistics With Data-driven Deep Learning for Arabic Speech Translation)
8. Studies Conducted at Sichuan University of Science & Engineering on Health and Medicine Recently Published (A New Sign Language Translation System Based on Expert Model)
9. Study Results from Jordan University of Science and Technology Update Understanding of Health and Medicine (Automatic Gesture-Based Arabic Sign Language Recognition: A Federated Learning Approach)
10. Research from Eskisehir Osmangazi University Yields New Findings on Health and Medicine (The Development of AI-Powered Automatic Video Sign Language Translation Systems)
11. Recent Findings from Thiagarajar College of Engineering Has Provided New Information about Information Technology (Real-time Interpreter for Short Sentences In Indian Sign Language Using Mediapipe and Deep Learning)
12. Study Results from East West University in the Area of Engineering Published [AI-Based Sensory Glove System to Recognize Bengali Sign Language (BaSL)]
13. Study Findings on Applied Sciences Are Outlined in Reports from Beihang University (Beyond Granularity: Enhancing Continuous Sign Language Recognition with Granularity-Aware Feature Fusion and Attention Optimization)
14. Reports from Zagazig University Highlight Recent Findings in Machine Learning (Optimized Hybrid Convolution Neural Network With Machine Learning for Arabic Sign Language Recognition)
15. Studies from School of Computer Science and Engineering in the Area of Engineering Described (A Comprehensive Review of Recent Advances in Deep Neural Networks for Lipreading With Sign Language Recognition)
16. Shamoon College of Engineering Researchers Add New Data to Research in Health and Medicine (Signsability: Enhancing Communication through a Sign Language App)
17. Research from King Abdulaziz University Has Provided New Data on Computer Science [Establishing a multimodal dataset for Arabic Sign Language (ArSL) production]
18. Study Data from King Abdulaziz University Update Knowledge of Engineering (Advancements in Sign Language Recognition: A Comprehensive Review and Future Prospects)
19. Researcher at Gallaudet University Reports Research in Cancer (Abstract B003: Inclusion of deaf, deafblind, and hard of hearing people in cancer clinical trials: Innovative accessible technologies)
20. Researcher from University of Ljubljana Reports Recent Findings in Language and Education [Including the Sign Language Community in Language Research, Learning and Teaching: Video Reference Grammar of Slovenian Sign Language (SZJ)]
21. Research from Tianjin University in the Area of Virtual Reality and Intelligent Hardware Described (Multi-scale context-aware network for continuous sign language recognition)
22. New Research on Machine Learning from Khulna University Summarized (Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People)
23. Findings from King Fahd University of Petroleum and Minerals Update Knowledge of Information Processing and Management (Reviewing 25 Years of Continuous Sign Language Recognition Research: Advances, Challenges, and Prospects)
24. Findings from Harbin Engineering University in Electronic Imaging Reported (Multiscale Temporal Network for Continuous Sign Language Recognition)
25. Study Results from Atilim University Update Understanding of Machine Learning (Machine Vs. Deep Learning Comparision for Developing an International Sign Language Translator)
26. Research from Brawijaya University in Health and Medicine Provides New Insights (Sworn Sign Language Interpreters Provision for Deaf People Appearing before Notary Based on Justice Principle)
27. Research Results from University of San Carlos Update Knowledge of Emerging Technologies (Gesture Recognition of Filipino Sign Language Using Convolutional and Long Short-Term Memory Deep Neural Networks)
28. Data from University of Technology Update Knowledge in Engineering (Enhancing communication: Deep learning for Arabic sign language translation)
29. Findings on Artificial Intelligence Reported by Investigators at Tlemcen University (Interactive System Based On Artificial Intelligence and Robotic Arm To Enhance Arabic Sign Language Learning In Deaf Children)
30. Researchers from Komar University of Science and Technology Detail Findings in Science [Enhancing Kurdish Sign Language Recognition Through Random Forest Classifier And Noise Reduction Via Singular Value Decomposition (Svd)]
31. Studies from Mansoura University Describe New Findings in Deafness (Silent lifesavers: Breaking barriers with a sign language health education video for students with deafness on school first aid)
32. Tokat Gaziosmanpasa University Researcher Has Published New Data on Computer Science (Isolated sign language recognition through integrating pose data and motion history images)
33. Study Results from King Abdulaziz University Broaden Understanding of Sensor Research (Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application)
34. Researchers from Bahcesehir University Provide Details of New Studies and Findings in the Area of Intelligent Systems (MLMSign: Multi-lingual multi-modal illumination-invariant sign language recognition)
35. Reports Outline Chemicals and Chemistry Study Findings from Taiyuan University of Technology (Coupling Thermogalvanic and Piezoresistive Effects In a Robust Hydrogel for Deep-learning-assisted Self-powered Sign Language and Object Recognition)
36. New Findings from Osaka University in the Area of Health and Medicine Described (Awake surgery for a deaf patient using sign language: A case report)
37. University of Aizu Researchers Detail Research in Engineering (Korean Sign Language Alphabet Recognition Through the Integration of Handcrafted and Deep Learning-Based Two-Stream Feature Extraction Approach)
38. Durban University of Technology Researchers Describe New Findings in Social Science [South African Sign Language (SASL) Interpreter Portrayal on SABC 1 News Bulletin: What Do Viewers Think?]
39. Sign Language Echolalia in Deaf Children With Autism Spectrum Disorder
40. New Computer Science Study Findings Recently Were Reported by Researchers at University of Malaya (Automatic Arabic Sign Language Recognition: a Review, Taxonomy, Open Challenges, Research Roadmap and Future Directions)
41. New Findings on Language and Communication Science Discussed by Researchers at University Pompeu Fabra (Hand Gestures Facilitate the Acquisition of Novel Phonemic Contrasts When They Appropriately Mimic Target Phonetic Features)
42. New Information Technology Study Findings Recently Were Reported by Researchers at Indian Institute of Technology (Independent Bayesian Classifier Combination Based Sign Language Recognition Using Facial Expression)
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