Results 91 to 100 of about 1,149,368 (349)

A new framework for sign language recognition based on 3D handshape identification and linguistic modeling [PDF]

open access: yes, 2014
Current approaches to sign recognition by computer generally have at least some of the following limitations: they rely on laboratory conditions for sign production, are limited to a small vocabulary, rely on 2D modeling (and therefore cannot deal with ...
Dilsizian, Mark   +4 more
core  

VGG-16 ARCHITECTURE ON CNN FOR AMERICAN SIGN LANGUAGE CLASSIFICATION [PDF]

open access: yes
Every country has its sign language such as in Indonesia there are 2 types namely Indonesian Sign Language System called SIBI and BISINDO (Indonesian Sign Language). American Sign Language (ASL) is a sign language that is widely used in the world.
Ali, Rabei Raad   +3 more
core   +2 more sources

Inorganic Dielectric Materials Coupling Micro‐/Nanoarchitectures for State‐of‐the‐Art Biomechanical‐to‐Electrical Energy Conversion Devices

open access: yesAdvanced Materials, EarlyView.
Biomechanical‐to‐electrical energy conversion devices are uniquely suited for self‐driven physiological information monitoring and powering human–computer interaction systems. These devices based on micro‐/nanoarchitectured inorganic dielectric materials (MNIDMs) have shown ultrahigh electromechanical performance and thus great potential for practical ...
Jia‐Han Zhang   +12 more
wiley   +1 more source

Using Deep Convolutional Networks for Gesture Recognition in American Sign Language [PDF]

open access: yesarXiv, 2017
In the realm of multimodal communication, sign language is, and continues to be, one of the most understudied areas. In line with recent advances in the field of deep learning, there are far reaching implications and applications that neural networks can have for sign language interpretation.
arxiv  

Towards Large-Scale Data Mining for Data-Driven Analysis of Sign Languages [PDF]

open access: yesProceedings of the 9th Workshop on the Representation and Processing of Sign Languages (LREC 2020), 2020
Access to sign language data is far from adequate. We show that it is possible to collect the data from social networking services such as TikTok, Instagram, and YouTube by applying data filtering to enforce quality standards and by discovering patterns in the filtered data, making it easier to analyse and model.
arxiv  

GWU Professor Named Vice President of Statewide American Sign Language (ASL) Group [PDF]

open access: yes, 2014
Gardner-Webb University’s Robert Moore provides his time and talents to support the efforts of the North Carolina American Sign Language Teacher’s Association (NCASLTA) and was recently named the group’s vice president. Moore serves in the GWU Department
Office of University Communications,
core   +1 more source

Lexicography and sign language engineering: the Zambian experience [PDF]

open access: yes, 2016
Sign language as used by deaf communities, is a real and fully-fledged human language, not based on any spoken language, and not universal in the sense of there being only one sign language worldwide.
Chanda, Vincent M.
core   +3 more sources

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen   +14 more
wiley   +1 more source

As línguas de bilíngues bimodais [PDF]

open access: yesLinguística, 2016
This paper presents a study about the linguistic behavior of four bimodal bilinguals (two Americans and two Brazilians) who had acquired a sign language at home, a heritage language (American Sign Language – ASL – or Brazilian Sign Language – Libras ...
Ronice Müller de Quadros   +2 more
doaj  

Using Deep Learning Technology for Real-Time Sign Language Detection and Recognition at Public Libraries in Egypt. [PDF]

open access: yesالمجلة العلمية للمكتبات والوثائق والمعلومات
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

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