Results 241 to 250 of about 1,593,424 (303)
Sign language encodes event structure through neuromotor dynamics: motion, muscle, and meaning. [PDF]
Front PsycholKrebs J +6 more
europepmc +1 more source
Deaf older adults' experiences of support from a mobile old-age care team providing support in Swedish sign language. [PDF]
BMC GeriatrKarlsson E +6 more
europepmc +1 more source
Incorporating American Sign Language Education to Prepare Future Physicians for Deaf and Hard-of-Hearing Patient Care. [PDF]
Med Sci EducHughes SE +6 more
europepmc +1 more source
How to crip your sign language linguistic theory. [PDF]
J Deaf Stud Deaf EducHou L, Namboodiripad S.
europepmc +1 more source
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2022
Signed languages are naturally occurring, fully formed linguistic systems that rely on the movement of the hands, arms, torso, and face within a sign space for production, and are perceived predominantly using visual perception. Despite stark differences in modality and linguistic structure, functional neural organization is strikingly similar to ...
Emily B, Goldberg +1 more
openaire +2 more sources
Signed languages are naturally occurring, fully formed linguistic systems that rely on the movement of the hands, arms, torso, and face within a sign space for production, and are perceived predominantly using visual perception. Despite stark differences in modality and linguistic structure, functional neural organization is strikingly similar to ...
Emily B, Goldberg +1 more
openaire +2 more sources
2017 International Conference on Computer Science and Engineering (UBMK), 2017
Millions of people around the world suffer from hearing disability. This large number demonstrates the importance of developing a sign language recognition system converting sign language to text for sign language to become clearer to understand without a translator. In this paper, a sign language recognition system using Backpropagation Neural Network
Karayilan, Tulay, KILIÇ, ÖZKAN
openaire +2 more sources
Millions of people around the world suffer from hearing disability. This large number demonstrates the importance of developing a sign language recognition system converting sign language to text for sign language to become clearer to understand without a translator. In this paper, a sign language recognition system using Backpropagation Neural Network
Karayilan, Tulay, KILIÇ, ÖZKAN
openaire +2 more sources
Name Signs in Greek Sign Language
American Annals of the Deaf, 2002Name signs have existed in Greek Deaf culture since antiquity. However, little is known about Greek Sign Language (GSL) and the Greek Deaf community. Based on interviews with 200 people, the phonological characteristics of Greek name signs are described, as well as the frequency of occurrence of specific name signs and the influence of spoken Greek ...
Vassilis, Kourbetis +1 more
openaire +2 more sources
2014
Interview for Monocle magazine feature on the history of corporate identity in Italy.
Plaisant, David, Oropallo, Gabriele
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Interview for Monocle magazine feature on the history of corporate identity in Italy.
Plaisant, David, Oropallo, Gabriele
openaire +2 more sources
Sign Language Recognition for Indian Sign Language
2023Vidyanand Mishra +4 more
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