Results 101 to 110 of about 762 (197)
American Sign Language Recognition System by Using Surface EMG Signal
, 2015 Sign Language Recognition (SLR) system is a novel method that allows hard of hearing to communicate with general society. In this study, American Sign Language (ASL) recognition system was proposed by using the surface Electromyography (sEMG).
Savur, Celal
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Personalisation‐Privacy Paradox: Systematic Review and Survey Evidence on Personal Data Stores
Expert Systems, Volume 43, Issue 7, July 2026.ABSTRACT The personalisation–privacy paradox captures the tension between using personal data for personalised services and respecting individuals' privacy. This study adopts a holistic research framework to clarify the paradox's core challenges, review existing approaches, and examine a user‐centric solution.
Ming‐Wei Hsu, Glenn Parry, Irene Ng
wiley +1 more source
HeliyonSign language recognition (SLR) contains the capability to convert sign language gestures into spoken or written language. This technology is helpful for deaf persons or hard of hearing by providing them with a way to interact with people who do not know
Hadeel Alsolai +5 more
doaj +1 more source
Leading Otherwise: Feminist Instances From the Arts
Gender, Work &Organization, Volume 33, Issue 4, Page 1196-1209, July 2026.ABSTRACT This paper explores how feminist artists enact leadership through artistic organizing in the creative industries. Drawing on two case studies—Company Drinks and Homebaked—it examines how leadership emerges not through formal roles or strategic vision, but through practices of care.
Anna De Amicis, Lebene Richmond Soga
wiley +1 more source
Fine-tuning of sign language recognition models: a technical report
, 2023 Sign Language Recognition (SLR) is an essential yet challenging task since sign language is performed with the fast and complex movement of hand gestures, body posture, and even facial expressions. %Skeleton Aware Multi-modal Sign Language Recognition In
Novopoltsev, Maxim +4 more
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Journal of Economic Surveys, Volume 40, Issue 3, Page 1637-1652, July 2026.ABSTRACT There is an increased proportion of studies using quantile‐based regression methodology (QR) in economics. They offer a robust alternative to classical mean regressions, which can estimate non‐normal variables with distributional heterogeneity in the dependent variable.
Shajara Ul‐Durar +4 more
wiley +1 more source
Towards the extraction of robust sign embeddings for low resource sign language recognition
, 2023 Isolated Sign Language Recognition (SLR) has mostly been applied on datasets containing signs executed slowly and clearly by a limited group of signers.
Holmes, Ruth +4 more
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Salted Peat: The Forgotten Casualty of Rising Sea Level in Freshwater Coastal Tropical Peatlands
Global Change Biology Communications, Volume 1, Issue 2, June 2026.This paper invites reflection on the largely overlooked risk that rising sea levels may salinize coastal tropical peatlands, potentially destabilizing vegetation, carbon cycling, and livelihoods. By synthesizing emerging evidence, it highlights a critical blind spot in climate models and adaptation frameworks that warrant urgent scientific and policy ...
Lupascu Massimo, Kartika Anggi Hapsari
wiley +1 more source
InformationCurrently, high quality datasets focused on Sign Language Recognition are either private, proprietary or difficult to obtain due to costs. Therefore, we aim to mitigate this problem by augmenting a publicly available dataset with artificially generated ...
Valentin Bercaru, Nirvana Popescu
doaj +1 more source
Sign Language Recognition using Bidirectional Reservoir Computing [PDF]
Sign language recognition (SLR) facilitates communication between deaf and hearing individuals. Deep learning is widely used to develop SLR-based systems; however, it is computationally intensive and requires substantial computational resources, making ...
Arie Rachmad Syulistyo, +15 more
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