Results 41 to 50 of about 762 (197)
Sign language digits and alphabets recognition by capsule networks
, 2022 There exist communication barriers between the deaf people and the listeners. Sign language translation is a reasonable and effective way to break these barriers.
Chen, Jinjun +6 more
core +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
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
Streamlining Diagnosis of Bardet–Biedl Syndrome: New Diagnostic Algorithm With Updated Criteria
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Considerable advances have been made in our understanding of Bardet–Biedl syndrome (BBS), particularly in its core clinical features and molecular genetics, warranting an update to the existing diagnostic criteria framework. Using a rigorous, evidence‐based, and consensus‐driven process, a multidisciplinary group of international experts and ...
Jeremy J. Pomeroy +16 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
Two-Stream Network for Sign Language Recognition and Translation
, 2023 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
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
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 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