Results 111 to 120 of about 40,432 (289)
Utilising transformers for American Sign Language fingerspelling recognition
This paper presents a machine learning approach to American Sign Language (ASL) fingerspelling recognition using Transformer models. Addressing the challenges of high variability in hand shapes, movement, and signing speed, the study utilises the new ASL
Souag, A., Pinnington, Jamie, Azhar, H.
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane +43 more
wiley +1 more source
Sign Language Recognition using Linguistically Derived Sub-Units
, 2010 This work proposes to learn linguistically-derived sub-unit classifiers for sign language. The responses of these classifiers can be combined by Markov models, producing efficient sign-level recognition.
Bowden, R, Cooper, H
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Transferring Cross-Domain Knowledge for Video Sign Language Recognition
, 2020 Word-level sign language recognition (WSLR) is a fundamental task in sign language interpretation. It requires models to recognize isolated sign words from videos.
Yu, Xin +14 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This analysis evaluates the effect of successful reperfusion on functional outcomes after MT, stratified by admission National Institutes of Health Stroke Scale (NIHSS) and Alberta Stroke Program Early CT Score (ASPECTS) as surrogates for clinical‐core mismatch, using multicenter registry data.
Felix Schlicht +53 more
wiley +1 more source
Spanish generation from Spanish Sign Language using a phrase-based translation system
, 2010 This paper describes the development of a Spoken Spanish generator from Spanish Sign Language (LSE – Lengua de Signos Española) in a specific domain: the renewal of Identity Document and Driver’s license. The system is composed of three modules.
Echeverry Correa, Julian David +4 more
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Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
A Sign Language Recognition System Using Artificial Intelligence
Indian Sign Language (ISL) is a visual language used by millions of people in India to communicate. However, not everyone knows how to interpret it, which can lead to communication barriers and difficulties in various settings such as schools, hospitals,
Singh Rathore, A. +6 more
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A Depolarizing Leak in Sodium Bicarbonate Cotransporter NBCe1 Causes Brain Edema
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives SLC4A4 encodes electrogenic sodium bicarbonate cotransporter NBCe1, prominently expressed in kidney and brain. Recessive loss‐of‐function variants in SLC4A4 cause proximal renal tubular acidosis, no brain edema. In the brain, NBCe1 is expressed by astrocytes, where it regulates pH and mediates astrocyte volume changes.
Quinty Bisseling +16 more
wiley +1 more source
Multimedia Dictionary and Synthesis of Sign Language
, 2001 We developed a multimedia dictionary of the Slovenian Sign Language (SSL) which consists of words, illustrations and video clips. We describe the structure of the dictionary and give examples of its user interface.
Krapež, Slavko +3 more
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