Results 31 to 40 of about 551 (165)
Experimenting the Automatic Recognition of Non-Conventionalized Units in Sign Language
Algorithms, 2020 Sign Languages (SLs) are visual–gestural languages that have developed naturally in deaf communities. They are based on the use of lexical signs, that is, conventionalized units, as well as highly iconic structures, i.e., when the form of an utterance ...
Valentin Belissen +2 more
doaj +1 more source
IEEE AccessThe Deaf are a large social group in society. Their unique way of communicating through sign language is often confined within their community due to limited understanding by individuals outside of this demographic.
Tangfei Tao +3 more
doaj +1 more source
Sensors, 2016 Sign language recognition (SLR) has been widely used for communication amongst the hearing-impaired and non-verbal community. This paper proposes an accurate and robust SLR framework using an improved decision tree as the base classifier of random ...
Ruiliang Su +3 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Research on ESG controversies has expanded rapidly, but findings remain fragmented and lack a unifying perspective. This study conducts a PRISMA‐guided, framework‐based systematic review of 68 empirical articles published between 2018 and 2025 (May) to synthesize the main determinants and consequences of ESG controversies.
Cristina Alexandrina Ştefănescu +1 more
wiley +1 more source
Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues
IEEE Access, 2021 People with hearing impairments are found worldwide; therefore, the development of effective local level sign language recognition (SLR) tools is essential.
Muhammad Al-Qurishi +2 more
doaj +1 more source
Sign Language Recognition System (SLRS)
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTAbstract: The Sign Language Recognition System (SLRS) is a computer vision–based real-time application that recognizes hand gestures and converts them into meaningful text or speech. Developed using Python, OpenCV, the system ensures high accuracy and quick response in classifying gestures.
Kunal Patil +3 more
openaire +1 more source
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
Hand gestures for emergency situations: A video dataset based on words from Indian sign language
Data in Brief, 2020 Automatic sign language recognition provides better services to the deaf as it avoids the existing communication gap between them and the rest of the society.
V. Adithya, R. Rajesh
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Environmental, Social and Governance (ESG) assessment criteria have drawn substantial attention by investors in recent years. ESG factors have been considered by investors to create greater wealth and better investment decisions and opportunities. However, there are ambiguities about ESG assessment and reporting with issues of transparency and
Caleb Boadi +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Sustainable consumption (SC) has become a critical pillar in advancing the United Nations Sustainable Development Goals (SDGs). This study delves into the interdisciplinary literature on SC and the SDGs to develop a comprehensive framework.
Guneet Chawla +4 more
wiley +1 more source