A Static Sign Language Recognition Method Enhanced with Self-Attention Mechanisms
SensorsFor 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 +3 more
doaj +1 more source
The Cortical Organization of Syntactic Processing Is Supramodal: Evidence from American Sign Language. [PDF]
J Cogn Neurosci, 2022 Matchin W +6 more
europepmc +1 more source
Advanced Science, EarlyView.By drawing inspiration from biological neural hierarchies and the working mechanisms of plasticity, researchers have constructed a series of bionic devices, including sensory devices, synapse devices, and artificial neural systems. They committed to simulating and surpassing the biological information processing function, thereby realizing the ...
Lu Yang +5 more
wiley +1 more source
LAVRF: Sign language recognition via Lightweight Attentive VGG16 with Random Forest.
PLoS ONESign 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 +4 more
doaj +1 more source
American Sign Language Translation Using Wearable Inertial and Electromyography Sensors for Tracking Hand Movements and Facial Expressions. [PDF]
Front Neurosci, 2022 Gu Y, Zheng C, Todoh M, Zha F.
europepmc +1 more source
Introduction to the study of sign language among the North American Indians ...
, 1880 Garrick Mallery
openalex +2 more sources
Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications
Advanced Electronic Materials, EarlyView.This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster +2 more
wiley +1 more source
The iconic motivation for the morphophonological distinction between noun-verb pairs in American Sign Language does not reflect common human construals of objects and actions. [PDF]
Lang Cogn, 2022 Pyers JE, Emmorey K.
europepmc +1 more source
Prosodic Constraints in American Sign Language
Annual Meeting of the Berkeley Linguistics Society, 1994 Proceedings of the Twentieth Annual Meeting of the Berkeley Linguistics Society: General Session Dedicated to the Contributions of Charles J. Fillmore (1994)
openaire +3 more sources
How to Test Triboelectric Nanogenerators: Key Factors for Standardized Performance Evaluation
Advanced Energy Materials, EarlyView.This paper is a guide on how to test triboelectric nanogenerators (TENGs) so that results can be reliably compared across different laboratories. It explores the many factors (fabrication, mechanical, electrical, and environmental) that can affect TENG testing results and provides recommendations for best practice in testing and performance evaluation.
Daniel M. Mulvihill +10 more
wiley +1 more source