Results 111 to 120 of about 1,313,326 (336)

Sign Language Fingerspelling Classification from Depth and Color Images using a Deep Belief Network

open access: yes, 2015
Automatic sign language recognition is an open problem that has received a lot of attention recently, not only because of its usefulness to signers, but also due to the numerous applications a sign classifier can have.
Giguère, Philippe   +1 more
core   +1 more source

Acquisition du lieu d’articulation en langue des signes québécoise chez trois enfants sourds : étude de cas [PDF]

open access: yes, 2000
Cette étude est la première en acquisition du lieu d’articulation en langue des signes québécoise (LSQ). Il existe peu de recherches sur le sujet en langues signées : Frishberg 1975 ainsi que Siedlecki et Bonvillian 1993 pour la langue des signes ...
Lavoie, Charlen, Villeneuve, Suzanne
core   +1 more source

2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics

open access: yesAdvanced Functional Materials, EarlyView.
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit   +5 more
wiley   +1 more source

Documenting Hawai‘i’s Sign Languages [PDF]

open access: yes, 2016
The Sign Language Documentation Training Center (SLDTC) offers workshops and linguistic training to users of threatened sign languages: currently American Sign Language (ASL) and Hawai‘i Sign Language (HSL).
Rarrick, Samantha, Wilson, Brittany
core  

Lexical-Semantic Organization in Bilingually Developing Deaf Children With ASL-Dominant Language Exposure: Evidence From a Repeated Meaning Association Task [PDF]

open access: yes, 2016
This study compared the lexical-semantic organization skills of bilingually developing deaf children in American Sign Language (ASL) and English with those of a monolingual hearing group.
Mann, W., Morgan, G., Sheng, L.
core   +1 more source

Parallel 3D Bioprinting on SLIPS‐Microarrays

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg   +3 more
wiley   +1 more source

Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets

open access: yesJournal of Imaging
Communication through sign language effectively helps both hearing- and speaking-impaired individuals connect. However, there are problems with the interlingual communication between Bangla Sign Language (BdSL) and English Sign Language (ASL) due to the ...
Nawshin Navin   +7 more
doaj   +1 more source

American Sign Language alphabet recognition using Convolutional Neural Networks with multiview augmentation and inference fusion

open access: yesEngineering applications of artificial intelligence, 2018
American Sign Language (ASL) alphabet recognition by computer vision is a challenging task due to the complexity in ASL signs, high interclass similarities, large intraclass variations, and constant occlusions.
Wenjin Tao, M. Leu, Zhaozheng Yin
semanticscholar   +1 more source

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu   +4 more
wiley   +1 more source

Exploiting Phonological Constraints for Handshape Inference in ASL Video [PDF]

open access: yes, 2011
Handshape is a key articulatory parameter in sign language, and thus handshape recognition from signing video is essential for sign recognition and retrieval.
Nash, Joan   +3 more
core   +5 more sources

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