Results 51 to 60 of about 20,260 (228)
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 The transition to a circular economy (CE) in the textile and clothing (TC) industry is frequently attributed to sustainability‐oriented innovation (SOI), yet empirical understanding of the systemic conditions under which SOI enables CE remains underdeveloped.
Krishnendu Saha +3 more
wiley +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
Symbolic or Substantive Action: Intent, Effort, and Results
Business Strategy and the Environment, EarlyView.ABSTRACT Many firms have made ambitious climate pledges since the Paris Agreement of 2015. These pledges may be symbolic or substantive, but the literature is fragmented in defining these two terms. We propose a conceptual framework with three frames to delineate symbolic from substantive action: Intent—underlying motivations for engaging in climate ...
Vincent Xinyi Gu +1 more
wiley +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
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
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
The False-Friend Effect in Three Profoundly Deaf Learners of French: Disentangling Morphology, Phonology and Orthography [PDF]
, 2015 Three profoundly deaf individuals undertook a low-frequency backward lexical translation task (French/English), where morphological structure was manipulated and orthographic distance between test items was measured.
Janke, Vikki, Kolokonte, Marina
core +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
Recognition of nonmanual markers in American Sign Language (ASL) using non-parametric adaptive 2D-3D face tracking [PDF]
, 2012 This paper addresses the problem of automatically recognizing linguistically significant nonmanual expressions in American Sign Language from video. We develop a fully automatic system that is able to track facial expressions and head movements, and ...
Liu, Bo +5 more
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