Results 101 to 110 of about 49,479 (310)
In this paper we consider the problems of applying corpus-based techniques to minority languages that are neither politically recognised nor have a formally accepted writing system, namely sign languages.
Morrissey, Sara +3 more
core
Traditionally so-called classifiers in productively formed verbs of motion and location in sign languages are said to reflect the semantic class of the moving or located entity.
Engberg-Pedersen Elisabeth +2 more
doaj +1 more source
Using Deep Learning Technology for Real-Time Sign Language Detection and Recognition at Public Libraries in Egypt. [PDF]
Sign 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
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Dictionary of the Slovenian Sign Language on the WWW [PDF]
The article describes technical and user-interface issues of transferring the contents and functionality of the CD-ROM version of the Slovenian sing language dictionary to the web.
Franc Solina +5 more
core +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
American Sign Language Detection
This research explores the application of machine learning techniques to detect American Sign Language(ASL). American Sign Language(ASL) is a complex form of communication as it involves the use of gestures, facial expressions, and body movements to ...
Patel, Milan
core
A novel model for expanding horizons in sign Language recognition
The 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
Pseudorabies virus (PRV), an emerging zoonotic α‐herpesvirus, causes life‐threatening human encephalitis. We identified a broad‐spectrum neutralizing antibody 6F7 targeting PRV gD. It blocks gD‐Nectin‐1 binding and membrane fusion, inhibiting replication across all PRV variants, representing a promising candidate for anti‐PRV therapy.
Yue Sun +11 more
wiley +1 more source
The effects of digital video framerate and size on American Sign Language (ASL) learner comprehension were investigated. Fifty-one students were randomly assigned to one of three video size treatment groups: 480x360, 320x240, and 240x180 pixels. Within
Rose, Susan +3 more
core +1 more source

