Results 71 to 80 of about 5,743,277 (287)

Colombian sign language analysis and recognition

, 2022
We present a methodology for the analysis and recognition of signs on the first open database of the Colombian sign language, CSL50: Colombian Sign Language Video and Inertial Measurement Dataset.
Flórez Sierra, Andrés Felipe
core   +2 more sources

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units [PDF]

, 2007
This dissertation describes new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer.
Awad, George M.
core   +2 more sources

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language [PDF]

, 2009
The aim of this thesis is to generate a gesture recognition system which can recognize several signs of Irish Sign Language (ISL). This project is divided into three parts. The first part provides background information on ISL.
Péporté, Michèle
core   +2 more sources

Isolated Video-Based Sign Language Recognition Using a Hybrid CNN-LSTM Framework Based on Attention Mechanism

Electronics
Sign language is a complex language that uses hand gestures, body movements, and facial expressions and is majorly used by the deaf community. Sign language recognition (SLR) is a popular research domain as it provides an efficient and reliable solution ...
Diksha Kumari, Radhey Shyam Anand
semanticscholar   +1 more source

Sign Language Recognition for Static and Dynamic Gestures [PDF]

, 2021
Humans are called social animals, which makes communication a very important part of humans. Humans use shoes and non-verbal forms of language for communication purposes, but not all humans can give oral speech. Hearing impaired and mute people.
Jay Suthar, Avi Patel, Devansh Parikh, Tanya Sharma   +3 more
core  

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Sand Cat Swarm Optimizer with Deep Wavelet Autoencoder-based Sign Language Recognition for Hearing- and Speech-impaired Persons

Journal of Disability Research, 2023
Sign language is commonly used to interact with people who have speech and hearing disorders. Sign language was exploited for interacting with people having developmental impairments who have some or no communication skills.
Mashael M. Asiri, Abdelwahed Motwakel, Suhanda Drar   +2 more
doaj   +1 more source

Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset

IEEE Access
Sign Language Recognition (SLR) represents a revolutionary technology aiming to establish communication between hearing impaired and non-hearing impaired communities, surpassing traditional interpreter-based approaches. Existing efforts in automatic sign
Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Satoshi Nishimura, Jungpil Shin   +3 more
semanticscholar   +1 more source