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Sign language aphasia

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

Sign language recognition

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

Name Signs in Greek Sign Language

American Annals of the Deaf, 2002
Name 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

Sign Language

2014
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

2023
Vidyanand Mishra   +4 more
openaire   +1 more source

Sign language and sign language research

2015
Myriam Vermeerbergen   +1 more
openaire   +1 more source

Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays

Nature Electronics, 2020
Kyle Chen, Xiaoshi Li, Songlin Zhang
exaly  

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