Results 131 to 140 of about 1,066,523 (299)

Computer-based tracking, analysis, and visualization of linguistically significant nonmanual events in American Sign Language (ASL) [PDF]

, 2014
Our linguistically annotated American Sign Language (ASL) corpora have formed a basis for research to automate detection by computer of essential linguistic information conveyed through facial expressions and head movements.
Liu, Bo, Liu, Jingjing, Metaxas, Dimitris, Neidle, Carol, Peng, Xi, Vogler, Christian   +5 more
core  

Relationship Between Knowledge and Compliance With Safety Measures: Evidence From COVID‐19

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Compliance with health safety protocols is important for protecting public health, particularly in agricultural sectors where disease outbreaks can disrupt production and market access. Despite its economic significance, we know little about what drives protocol compliance.
Nilufer Cetik, Carola Grebitus, Lauren Chenarides   +2 more
wiley   +1 more source

Two-Stream Mixed Convolutional Neural Network for American Sign Language Recognition. [PDF]

Sensors (Basel), 2022
Ma Y, Xu T, Kim K.
europepmc   +1 more source

Livestock Tango: U.S. and Latin America Dance Together, but Who Will Lead?

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the competitiveness between Latin American and U.S. livestock and meat sectors. We employ a computable general equilibrium modeling framework to evaluate two scenarios: coordinated improvements in Latin American productivity, transport efficiency, and market access (Scenario I), and the minimum productivity gains required ...
Taís C. Menezes, Amanda M. Countryman, Dustin L. Pendell   +2 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

Neuropsychological evaluation in American Sign Language: A case study of a deaf patient with epilepsy. [PDF]

Epilepsy Behav Rep, 2022
Miranda M, Arias F, Arain A, Newman B, Rolston J, Richards S, Peters A, Pick LH.   +7 more
europepmc   +1 more source

Secondary Signing Location in American Sign Language

Annual Meeting of the Berkeley Linguistics Society, 1992
Proceedings of the Eighteenth Annual Meeting of the Berkeley Linguistics Society: General Session and Parasession on The Place of Morphology in a Grammar (1992), pp.
openaire   +2 more sources

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, Metaxas, Dimitris, Michael, Nicholas, Neidle, Carol, Yang, Fei, Yang, Peng   +5 more
core  

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 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