Results 71 to 80 of about 729,502 (283)

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove

open access: yesNature Communications, 2021
Though wearable gloves are widely used for gesture associated applications (e.g. sign language recognition), sentence identification of sign language remains a challenge.
Feng Wen   +3 more
doaj   +1 more source

3D face tracking and multi-scale, spatio-temporal analysis of linguistically significant facial expressions and head positions in ASL [PDF]

open access: yes, 2014
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  

Exploiting Phonological Constraints for Handshape Inference in ASL Video [PDF]

open access: yes, 2011
Handshape is a key articulatory parameter in sign language, and thus handshape recognition from signing video is essential for sign recognition and retrieval.
Nash, Joan   +3 more
core   +5 more sources

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

A Study on the STGCN-LSTM Sign Language Recognition Model Based on Phonological Features of Sign Language

open access: yesIEEE Access
Many isolated words in Chinese Sign Language (CSL) exhibit significant feature similarities, which are primarily conveyed through hand, face, and body movements.
Yuxin Han, Yong Han, Qi Jiang
doaj   +1 more source

A Sign Language Recognition System Applied to Deaf-Mute Medical Consultation

open access: yesSensors, 2022
It is an objective reality that deaf-mute people have difficulty seeking medical treatment. Due to the lack of sign language interpreters, most hospitals in China currently do not have the ability to interpret sign language. Normal medical treatment is a
Kun Xia   +3 more
doaj   +1 more source

Hand gesture recognition system based in computer vision and machine learning [PDF]

open access: yes, 2015
"Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"Hand gesture recognition is a natural way of human computer interaction and an area of very active research in computer vision and machine learning.
A Chaudhary   +5 more
core   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

open access: yesMolecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena   +15 more
wiley   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Scalable ASL sign recognition using model-based machine learning and linguistically annotated corpora [PDF]

open access: yes, 2018
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  

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