An Analysis of Sign Language Group Communication and Support of Such Communication by Projecting the Upper Body of the Signer

2018 ◽  
pp. 76-90
Author(s):  
Pedro Passos Couteiro ◽  
Shin Takahashi
Keyword(s):  
Sign Language ◽  
Group Communication ◽  
Upper Body ◽  
Language Group

scholarly journals Decomposing spontaneous sign language into elementary movements: A principal component analysis-based approach

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0259464
Author(s):  
Félix Bigand ◽  
Elise Prigent ◽  
Bastien Berret ◽  
Annelies Braffort
Keyword(s):  
Principal Component Analysis ◽  
Sign Language ◽  
Motion Capture ◽  
Computational Models ◽  
Body Movement ◽  
Principal Component ◽  
Component Analysis ◽  
Body Motion ◽  
Upper Body ◽  
Motion Capture Data

Sign Language (SL) is a continuous and complex stream of multiple body movement features. That raises the challenging issue of providing efficient computational models for the description and analysis of these movements. In the present paper, we used Principal Component Analysis (PCA) to decompose SL motion into elementary movements called principal movements (PMs). PCA was applied to the upper-body motion capture data of six different signers freely producing discourses in French Sign Language. Common PMs were extracted from the whole dataset containing all signers, while individual PMs were extracted separately from the data of individual signers. This study provides three main findings: (1) although the data were not synchronized in time across signers and discourses, the first eight common PMs contained 94.6% of the variance of the movements; (2) the number of PMs that represented 94.6% of the variance was nearly the same for individual as for common PMs; (3) the PM subspaces were highly similar across signers. These results suggest that upper-body motion in unconstrained continuous SL discourses can be described through the dynamic combination of a reduced number of elementary movements. This opens up promising perspectives toward providing efficient automatic SL processing tools based on heavy mocap datasets, in particular for automatic recognition and generation.

scholarly journals Experimenting the Automatic Recognition of Non-Conventionalized Units in Sign Language

Algorithms ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 310
Author(s):  
Valentin Belissen ◽  
Annelies Braffort ◽  
Michèle Gouiffès
Keyword(s):  
Neural Network ◽  
Parallel Processing ◽  
Convolutional Neural Network ◽  
Sign Language ◽  
Performance Metrics ◽  
Automatic Recognition ◽  
Upper Body ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Sign Languages

Sign Languages (SLs) are visual–gestural languages that have developed naturally in deaf communities. They are based on the use of lexical signs, that is, conventionalized units, as well as highly iconic structures, i.e., when the form of an utterance and the meaning it carries are not independent. Although most research in automatic Sign Language Recognition (SLR) has focused on lexical signs, we wish to broaden this perspective and consider the recognition of non-conventionalized iconic and syntactic elements. We propose the use of corpora made by linguists like the finely and consistently annotated dialogue corpus Dicta-Sign-LSF-v2. We then redefined the problem of automatic SLR as the recognition of linguistic descriptors, with carefully thought out performance metrics. Moreover, we developed a compact and generalizable representation of signers in videos by parallel processing of the hands, face and upper body, then an adapted learning architecture based on a Recurrent Convolutional Neural Network (RCNN). Through a study focused on the recognition of four linguistic descriptors, we show the soundness of the proposed approach and pave the way for a wider understanding of Continuous Sign Language Recognition (CSLR).

Effects of Parental Deafness and Early Exposure to Manual Communication on the Cognitive Skills, English Language Skill, and Field Independence of Young Deaf Adults

1983 ◽  
Vol 26 (4) ◽  
pp. 588-594 ◽  
Author(s):  
Ila Parasnis
Keyword(s):  
College Students ◽  
Sign Language ◽  
Cognitive Skills ◽  
Speech Intelligibility ◽  
English Language ◽  
Control Group ◽  
Language Group ◽  
Early Exposure ◽  
Field Independence ◽  
Communication Performance

Congenitally deaf college students with deaf parents who were native ASL signers (the ASL group) were compared to congenitally deaf college students who learned to sign between the ages of 6 and 12 years and who had hearing parents (the Delayed sign language group) on tests of cognitive skills, the cognitive style of field independence/dependence, and English language presented and produced through spoken, written, and sign modes. A control group of hearing college students was also included in the study. Differential effects of parental deafness and early exposure to manual communication, generally reported for deaf children, were not observed in the cognitive and communication performance of the experimental subjects. Furthermore, the Delayed sign language group performed significantly better than the ASL group on tests of speech perception and speech intelligibility. No differences on tests on cognitive skills were observed between the deaf and hearing subjects or between males and females. However, deaf females in both groups were more field dependent than deaf males and hearing females, while deaf males did not differ from hearing males. A test of speech reception skill was the only predictor of field independence for the ASL group while a test of cognitive skills was the only predictor of field independence for the other two groups.

Permeability of the microcirculation in area postrema of rat

1988 ◽  
Vol 46 ◽  
pp. 348-349
Author(s):  
Shams M. Ghoneim ◽  
Frank M. Faraci ◽  
Gary L. Baumbach
Keyword(s):  
Brain Stem ◽  
Area Postrema ◽  
Upper Body ◽  
Sprague Dawley ◽  
Sodium Cacodylate ◽  
Acute Hypertension ◽  
Sprague Dawley Rats ◽  
Ultrastructural Characteristics ◽  
The Brain ◽  
Adjacent Brain

The area postrema is a circumventricular organ in the brain stem and is one of the regions in the brain that lacks a fully functional blood-brain barrier. Recently, we found that disruption of the microcirculation during acute hypertension is greater in area postrema than in the adjacent brain stem. In contrast, hyperosmolar disruption of the microcirculation is greater in brain stem. The objective of this study was to compare ultrastructural characteristics of the microcirculation in area postrema and adjacent brain stem.We studied 5 Sprague-Dawley rats. Horseradish peroxidase was injected intravenously and allowed to circulate for 1, 5 or 15 minutes. Following perfusion of the upper body with 2.25% glutaraldehyde in 0.1 M sodium cacodylate, the brain stem was removed, embedded in agar, and chopped into 50-70 μm sections with a TC-Sorvall tissue chopper. Sections of brain stem were incubated for 1 hour in a solution of 3,3' diaminobenzidine tetrahydrochloride (0.05%) in 0.05M Tris buffer with 1% H2O2.

Understanding the Communication Needs of Culturally and Linguistically Diverse Students Who Are Deafblind

2017 ◽  
Vol 2 (12) ◽  
pp. 81-88
Author(s):  
Sandy K. Bowen ◽  
Silvia M. Correa-Torres
Keyword(s):  
Sign Language ◽  
Augmentative And Alternative Communication ◽  
Linguistically Diverse ◽  
Spoken Language ◽  
Culturally And Linguistically Diverse ◽  
Alternative Communication ◽  
Linguistically Diverse Students ◽  
The Past ◽  
Communication Needs ◽  
Different Cultures

America's population is more diverse than ever before. The prevalence of students who are culturally and/or linguistically diverse (CLD) has been steadily increasing over the past decade. The changes in America's demographics require teachers who provide services to students with deafblindness to have an increased awareness of different cultures and diversity in today's classrooms, particularly regarding communication choices. Children who are deafblind may use spoken language with appropriate amplification, sign language or modified sign language, and/or some form of augmentative and alternative communication (AAC).

Sign Language Phonology

2019 ◽  
Author(s):  
Diane Brentari
Keyword(s):  
Sign Language

Mid-aortic syndrome: computed tomography angiography depicting extensive collateral circulation in an 11-year-old patient with thoracoabdominal aortic coarctation

VASA ◽  
2012 ◽  
Vol 41 (2) ◽  
pp. 132-135 ◽  
Author(s):  
Krohn ◽  
Gebauer ◽  
Hübler ◽  
Beck
Keyword(s):  
Computed Tomography ◽  
Computed Tomography Angiography ◽  
Collateral Circulation ◽  
Intestinal Ischemia ◽  
Clinical Presentation ◽  
Lower Limbs ◽  
Upper Body ◽  
Descending Aorta ◽  
Before And After ◽  
Blood Pressures

The mid-aortic syndrome is an uncommon clinical condition characterized by severe narrowing of the descending aorta, usually with involvement of its renal and visceral branches, presenting with uncontrollably elevated blood pressures of the upper body, renal and cardiac failure, intestinal ischemia, encephalopathy symptoms and claudication of the lower limbs, although clinical presentation is variable. In this article we report the case of an eleven-year-old patient with the initial diagnosis of a mid-aortic syndrome and present the computed tomography angiography pictures and reconstructions before and after surgical therapy.

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