Results 101 to 110 of about 44,777 (258)

Research into the information referents of deaf signers

Communication & Society (Formerly Comunicación y Sociedad), 2012
The Information society is bringing about an increase in the number of information referents for deaf signers (those who use sign language). With the aim of exploring the ways most commonly used by deaf people to find out about current affairs, this ...
Jordi Serrat, María del Pilar Fernández-Viader   +1 more
doaj  

From Sourcing to End‐of‐Life: Sustainability Challenges and Opportunities in Organic Bioelectronics

Advanced Science, EarlyView.
Organic bioelectronics bridges biology and electronics using organic mixed ionic/electronic conductors. This Perspective addresses sustainability across the full lifecycle of organic bioelectronic materials and devices, offering a framework to guide material sourcing, synthesis, fabrication, application, and end‐of‐life strategies toward bioelectronic ...
Gwennaël Dufil, Marine Batista, Andrea Bionda, Erica Zeglio   +3 more
wiley   +1 more source

An improved custom convolutional neural network based hand sign recognition using machine learning algorithm

Engineering Reports
The biggest challenge the deaf and dumb group faces is that individuals around them do not understand sign language, which they use to communicate with one another.
Pradnya Moon, Ganesh Yenurkar, Vincent O. Nyangaresi, Ayush Raut, Nikhil Dapkekar, Jay Rathod, Piyush Dabare   +6 more
doaj   +1 more source

Use of Routine Emergency Department Care Practices with Deaf American Sign Language Users. [PDF]

J Emerg Med, 2023
Conner KR, Jones CM, Wood N, Aldalur A, Paracha M, Powell SJ, Nie Y, Dillon KM, Rotoli J.   +8 more
europepmc   +1 more source

Two‐Dimensional Materials for Flexible Neuromorphic Devices: Materials, Engineering Strategies, Architectures, and Emerging Applications

Advanced Electronic Materials, EarlyView.
This review explains how atomically thin materials can combine information storage, processing, and mechanical flexibility in neuromorphic devices. It connects material properties and engineering strategies with device architecture, synaptic behavior, and performance under bending.
Junzhe Tang, Letian Dai
wiley   +1 more source

LAVRF: Sign language recognition via Lightweight Attentive VGG16 with Random Forest.

PLoS ONE
Sign language recognition presents significant challenges due to the intricate nature of hand gestures and the necessity to capture fine-grained details.
Edmond Li Ren Ewe, Chin Poo Lee, Kian Ming Lim, Lee Chung Kwek, Ali Alqahtani   +4 more
doaj   +1 more source

Limited Diabetes Education and Resources in American Sign Language. [PDF]

Diabetes Spectr, 2022
Litchman ML, Moreland C, Fagerlin A, Kushalnagar P.   +3 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

A Static Sign Language Recognition Method Enhanced with Self-Attention Mechanisms

Sensors
For the current wearable devices in the application of cross-diversified user groups, it is common to face the technical difficulties of static sign language recognition accuracy attenuation, weak anti-noise ability, and insufficient system robustness ...
Yongxin Wang, He Jiang, Yutong Sun, Longqi Xu   +3 more
doaj   +1 more source

How (and why) does iconicity effect lexical access: An electrophysiological study of American sign language. [PDF]

Neuropsychologia, 2023
McGarry ME, Midgley KJ, Holcomb PJ, Emmorey K.   +3 more
europepmc   +1 more source