Results 131 to 140 of about 1,313,326 (336)
Using Deep Learning Technology for Real-Time Sign Language Detection and Recognition at Public Libraries in Egypt. [PDF]
المجلة العلمية للمكتبات والوثائق والمعلوماتSign Language is the most expressive way for communication between deaf and hearing-impaired people, where information is majorly conveyed through the hand gestures.
مؤمن سيد
doaj +1 more source
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 +5 more
core
Advanced Healthcare Materials, EarlyView.This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi +7 more
wiley +1 more source
Frontiers in Human Neuroscience, 2019 Previous research has identified ventral and dorsal white matter tracts as being crucial for language processing; their maturation correlates with increased language processing capacity.
Qi Cheng +3 more
semanticscholar +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
A novel model for expanding horizons in sign Language recognition
Scientific ReportsThe American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the corresponding
Esraa Hassan +3 more
doaj +1 more source
2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems
Advanced Materials, EarlyView.A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley +1 more source
Choice of handshape and classifier type in placement verbs in American Sign Language
Open LinguisticsThis study investigates choice of classifier handshape in the placement verbs MOVE and PUT in American Sign Language (ASL), analyzing data from two deaf ASL signers describing placement events elicited via a semi-structured task.
Frederiksen Anne Therese
doaj +1 more source
American Sign Language Alphabet Recognition using Deep Learning
, 2019 Tremendous headway has been made in the field of 3D hand pose estimation but the 3D depth cameras are usually inaccessible. We propose a model to recognize American Sign Language alphabet from RGB images.
Bidani, Shiv +3 more
core
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 +5 more
core