Results 61 to 70 of about 729,502 (283)

Hybrid InceptionNet Based Enhanced Architecture for Isolated Sign Language Recognition

IEEE Access
Sign language is a common way of communication for people with hearing and/or speaking impairments. AI-based automatic systems for sign language recognition are very desirable since they can reduce barriers between people and improve Human-Computer ...
Deep R. Kothadiya, Chintan M. Bhatt, Hena Kharwa, Felix Albu   +3 more
doaj   +1 more source

Sign Language Recognition Using Artificial Rabbits Optimizer with Siamese Neural Network for Persons with Disabilities

Journal of Disability Research, 2023
Sign language recognition is an effective solution for individuals with disabilities to communicate with others. It helps to convey information using sign language.
Radwa Marzouk, Fadwa Alrowais, Fahd N. Al-Wesabi, Anwer Mustafa Hilal   +3 more
doaj   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Dynamic Sign Language Recognition Based on Video Sequence With BLSTM-3D Residual Networks

IEEE Access, 2019
Sign language recognition aims to recognize meaningful movements of hand gestures and is a significant solution in intelligent communication between the deaf community and hearing societies.
Yanqiu Liao, Pengwen Xiong, Weidong Min, Weiqiong Min, Jiahao Lu   +4 more
doaj   +1 more source

Enhanced Bald Eagle Search Optimizer with Transfer Learning-based Sign Language Recognition for Hearing-impaired Persons

Journal of Disability Research, 2023
Sign language recognition and classification for hearing-impaired people is a vital application of computer vision (CV) and machine learning (ML) approaches.
Mashael M. Asiri, Abdelwahed Motwakel, Suhanda Drar   +2 more
doaj   +1 more source

Hand in hand: automatic sign Language to English translation [PDF]

, 2007
In this paper, we describe the first data-driven automatic sign-language-to- speech translation system. While both sign language (SL) recognition and translation techniques exist, both use an intermediate notation system not directly intelligible for ...
Dreuw, Philippe, Morrissey, Sara, Ney, Hermann, Stein, Daniel, Way, Andy   +4 more
core   +2 more sources

Vision-based portuguese sign language recognition system [PDF]

, 2014
Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer ...
A. Blum, A. Mannini, B.M. Faria, D. Kelly, D. Zhang, D.E. King, F.-S. Chen, G.R.S. Murthy, H. Cooper, H. Kauppinen, J.P. Wachs, K. Oka, L. Montesano, M. Oshita, N.E. Gillian, P.K. Vijay, R. Almeida, R.A. Braga, S. Bourennane, Z. Zafrulla   +19 more
core   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition

, 2016
Human body pose estimation and hand detection are two important tasks for systems that perform computer vision-based sign language recognition(SLR). However, both tasks are challenging, especially when the input is color videos, with no depth information.
Chen X., Cooper H., Tokui S., Tompson J. J., Tompson J. J., Yosinski J.   +5 more
core   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source