Results 141 to 150 of about 1,149,368 (349)

How sensory-motor systems impact the neural organization for language: Direct contrasts between spoken and signed language

open access: yesFrontiers in Psychology, 2014
To investigate the impact of sensory-motor systems on the neural organization for language, we conducted an H215O-PET study of sign and spoken word production (picture-naming) and an fMRI study of sign and audio-visual spoken language comprehension ...
Karen eEmmorey   +3 more
doaj   +1 more source

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

open access: yesAdvanced 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

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

open access: yesNeuropsychologia, 2023
McGarry ME   +3 more
europepmc   +1 more source

Research into the information referents of deaf signers

open access: yesCommunication & 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   +1 more
doaj  

Hand Gesture Recognition using Neural Networks and Moment

open access: yesJournal of Kufa for Mathematics and Computer, 2010
Hand gesture recognition is a rich area of research and covers a wide scope of applications from human machine interaction (e.g in games) to Deaf people computer interface and from 3D animation to control of mechanical systems.
Nizar Saadi Dahir
doaj   +1 more source

High Linearity and Symmetry Ferroelectric Artificial Neuromorphic Devices Based on Ultrathin Indium‐Tin‐Oxide Channels

open access: yesAdvanced Electronic Materials, EarlyView.
Ultrathin ITO and ferroelectric HZO are used to fabricate synaptic transistors. The device has a great on/off ratio ≈108 with a memory window of 1.73 V, successfully simulates the characteristics of the human brain, and achieves good linearity of 0.45 for potential and 0.73 for depression and low asymmetry of 0.89.
Siwei Wang   +8 more
wiley   +1 more source

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

open access: yesEngineering 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   +6 more
doaj   +1 more source

The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge [PDF]

open access: yesarXiv
Language models for American Sign Language (ASL) could make language technologies substantially more accessible to those who sign. To train models on tasks such as isolated sign recognition (ISR) and ASL-to-English translation, datasets provide annotated video examples of ASL signs. To facilitate the generalizability and explainability of these models,
arxiv  

Using American Sign Language to Support Sight Word Acquisition in English Learners [PDF]

open access: yes, 2018
English Learners constitute a growing, and important, portion of our school communities, yet the research base regarding evidence-based practices to support effective instruction for English Learners is minimal, especially for those with disabilities ...
Keesey, Susan   +2 more
core   +1 more source

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