Identification and discrimination of handshape in American Sign Language [PDF]
, 1981 James Stungis
openalex +1 more source
American sign language recognition and training method with recurrent neural network
Expert systems with applications, 2021 C. K. M. Lee +5 more
semanticscholar +1 more source
Strong and Weak Coupling Nanophysics with Free Electron Beams
Advanced Optical Materials, EarlyView.This paper focuses on a short review of the study of the coupling between optical excitations at the nanometer scale, made possible by recent advances in free electron beam spectroscopies. In particular, plasmon–plasmon, plasmon–exciton, and plasmon–phonon couplings are reviewed. Abstract The work of Luis M.
Mathieu Kociak +6 more
wiley +1 more source
Second Language Working Memory Deficits and Plasticity in Hearing Bimodal Learners of Sign Language
Psychology of Language and Communication, 2015 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
Open Linguistics, 2016 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
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Computer graphic modeling of american sign language [PDF]
, 1983 Jeffrey Loomis +4 more
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Numerical and Experimental Methods for Estimating the Propagation Loss in Microphotonic Waveguides
Advanced Photonics Research, EarlyView.Finite‐element finite‐difference time domain, eigenmode‐expansion, and volume‐current simulations are benchmarked against cut‐back, ring‐resonator, and OFDR measurements to quantify waveguide propagation loss in integrated photonic circuits. Scattering, absorption, leakage, and back‐reflection contributions are dissected; error sources are ranked; and ...
Francesco Dell’Olio +4 more
wiley +1 more source
Visual recognition of American sign language using hidden Markov models [PDF]
, 1995 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
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American Sign Language Recognition for Alphabets Using MediaPipe and LSTM
Procedia Computer Science, 2022 B. Sundar, T. Bagyammal
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Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
Advanced Robotics Research, EarlyView.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