Results 91 to 100 of about 1,313,326 (336)
3D face tracking and multi-scale, spatio-temporal analysis of linguistically significant facial expressions and head positions in ASL [PDF]
Essential grammatical information is conveyed in signed languages by clusters of events involving facial expressions and movements of the head and upper body. This poses a significant challenge for computer-based sign language recognition.
Liu, Bo +4 more
core
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation
There is an undeniable communication barrier between deaf people and people with normal hearing ability. Although innovations in sign language translation technology aim to tear down this communication barrier, the majority of existing sign language ...
Chai Xiujuan +5 more
core +1 more source
A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images [PDF]
Sign language is used by approximately 70 million1 people throughout the world, and an automatic tool for interpreting it could make a major impact on communication between those who use it and those who may not understand it.
Ameen, SA, Vadera, S
core +2 more sources
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source
Adapting the Assessing British Sign Language Development: Receptive Skills Test into American sign language [PDF]
Signed languages continue to be a key element of deaf education programs that incorporate a bilingual approach to teaching and learning. In order to monitor the success of bilingual deaf education programs, and in particular to monitor the progress of ...
Anderson +6 more
core +1 more source
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcome measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semistructured interviews ...
Catherine Nasrallah +13 more
wiley +1 more source
Scalable ASL sign recognition using model-based machine learning and linguistically annotated corpora [PDF]
We report on the high success rates of our new, scalable, computational approach for sign recognition from monocular video, exploiting linguistically annotated ASL datasets with multiple signers.
Dilsizian, Mark +2 more
core
Objectives This study aimed to investigate hand function trajectories over 5 years in primary hand osteoarthritis. Additionally, determinants of baseline and longitudinal hand function were assessed. Methods 538 patients with both baseline and 5‐year study visits were analyzed.
Annemiek V.E.M. Olde Meule +4 more
wiley +1 more source
American Indian Sign Language (AISL) Digital Corpus Project [PDF]
This poster features a digital collection of American Indian Sign Language (AISL) lexical signs, grammatical features, and discourse genres developed with support from the NEH and NSF’s Documenting Endangered Languages (DEL) program. The project involves
Davis
core
Background Obesity, defined by BMI ≥30kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA.
Kristine Godziuk +6 more
wiley +1 more source

