Results 111 to 120 of about 1,050,721 (299)
Second Language Working Memory Deficits and Plasticity in Hearing Bimodal Learners of Sign Language
Little is known about the acquisition of another language modality on second language (L2) working memory (WM) capacity. Differential indexing within the WM system based on language modality may explain differences in performance on WM tasks in sign and ...
Williams Joshua +2 more
doaj +1 more source
Towards a Classification of Weak Hand Holds
The two symmetrical manual articulators (the hands) in signed languages are a striking modalityspecific phonetic property. The weak hand can maintain the end position of an articulation while the other articulator continues to produce additional signs ...
Kimmelman Vadim +2 more
doaj +1 more source
Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post‐Moore Era
In this Review, the state of art of ferroelectric hybrid systems—combining ferroelectrics, 2D semiconductors, and molecular switches is presented—as next‐generation platforms for high‐density, multifunctional electronics. By discussing 2D FeFET applications, nanoscale material downscaling, M3D integration, and emerging ferroelectrics, it highlights ...
Haixin Qiu +3 more
wiley +1 more source
Deaf and Hearing American Sign Language-English Bilinguals: Typical Bilingual Language Development. [PDF]
Goodwin C, Lillo-Martin D.
europepmc +1 more source
Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
wiley +1 more source
Visual recognition of American sign language using hidden Markov models [PDF]
Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1995.Includes bibliographical references (leaves 48-52).by Thad Eugene Starner.M ...
Starner, Thad
core
American Sign Language Recognition System Using Wearable Sensors with Deep Learning Approach [PDF]
Teak-Wei Chong, Beomjoon Kim
openalex +1 more source
This review highlights recent advances in accelerating luminescence in nanostructures through cooperative emission, resonator coupling, and nonlocal light–matter interactions. By unifying concepts such as excitonic superradiance, superfluorescence, and the plasmonic Purcell effect, it reveals physical limits of ultrafast emission and their potential ...
Masaaki Ashida +3 more
wiley +1 more source
Fingerspelling Identification For American Sign Language Based On Resnet-18
Hanwen Zhang +3 more
openalex +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source

