Results 51 to 60 of about 762 (197)
Two-Stream Network for Sign Language Recognition and Translation
, 2022 Sign languages are visual languages using manual articulations and non-manual elements to convey information. For sign language recognition and translation, the majority of existing approaches directly encode RGB videos into hidden representations.
Zuo, Ronglai +5 more
core
LSFB-CONT and LSFB-ISOL:Two New Datasets for Vision-Based Sign Language Recognition [PDF]
, 2021 While significant progress have been made in thefield of Natural Language Processing (NLP), leading the com-mercially available products, Sign Language Recognition (SLR)is still in its infancy.
Frénay, Benoît; id_orcid +3 more
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Hand-Model-Aware Sign Language Recognition
, 2021 Hand gestures play a dominant role in the expression of sign language. Current deep-learning based video sign language recognition (SLR) methods usually follow a data-driven paradigm under the supervision of the category label.
Li, Houqiang, Hu, Hezhen, Zhou, Wengang
core +1 more source
Isolated sign language recognition through integrating pose data and motion history images [PDF]
PeerJ Computer ScienceThis article presents an innovative approach for the task of isolated sign language recognition (SLR); this approach centers on the integration of pose data with motion history images (MHIs) derived from these data.
Ali Akdağ, Ömer Kaan Baykan
doaj +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari +2 more
wiley +1 more source
Sign Language Recognition using Deep Learning [PDF]
, 2023 Sign Language Recognition is a form of action recognition problem. The purpose of such a system is to automatically translate sign words from one language to another.
Natalia, Friska +3 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Recent literature addressing ESG and risk has increased by 70% since mid‐2022, reflecting a growing interest in sustainable finance. Guided by the PRISMA flow diagram, this paper employs a hybrid systematic review methodology, combining bibliometric analysis with content analysis, to provide a comprehensive overview of the evolution of ESG and
Fahad Asmi, Alain Neher, Alfred Wong
wiley +1 more source
Breaking Down Online and Digital Reporting Practices: A Research Map From Websites to Social Media
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This paper adopts a mixed research methodology, integrating bibliometric and systematic literature review (SLR) tools, to systematise the academic contributions and the different bodies of knowledge generated over the last decades on online and digital reporting practices, ranging from websites to social media.
Giuseppe Nicolò +3 more
wiley +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 980-997, April 2025.Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler +8 more
wiley +1 more source
An Efficient Hybrid Attention-Guided Frame-Wise Temporal Reasoning for Sign Language Recognition
IEEE AccessSign Language Recognition (SLR) plays a crucial role in enabling inclusive communication by translating sign gestures into spoken or written language.
S. Renjith, Aneesh Varghese
doaj +1 more source