Results 121 to 130 of about 28,042 (292)

Sign Language Translator

, 2019
The Sign Language Translator is a glove that translates sign language to text and speech in real time. The glove is outfitted with an Arduino Lilypad, an Accelerometer, Flex Sensors and Contact Sensors. Values from these sensors are sent via bluetooth to an iPhone application which predicts and displays the translated gesture.
Lo, Brandon, Mohanraj, Harshithaa, Ngo, Brandon, Phan, Daniel   +3 more
openaire   +1 more source

HOF‐Stabilized Apple EV Nanocargo in an NIR‐Responsive Hydrogel Enables On‐Demand Therapeutic Modulation for Transdermal Deep‐Joint Osteoarthritis Therapy

Advanced Healthcare Materials, EarlyView.
An NIR‐responsive transdermal hydrogel integrating apple EV nanocargo, berberine, piperine, HOFs, and graphene oxide enables localized osteoarthritis modulation. The platform supports enhanced transdermal delivery together with mild hyperthermia‐associated and redox‐related responses, leading to reduced inflammation and oxidative stress, improved ...
Yu‐Wen Tseng, Pei‐Wei Weng, Hsien‐Tsung Lu, Jiunn‐Horng Kang, Lekha Rethi, Lekshmi Rethi, Yan‐Ting Chen, Hieu Trung Nguyen, Yao‐Tung Tsai, Andrew E.‐Y. Chuang   +9 more
wiley   +1 more source

Intelligent Malaysian Sign Language Translation System Using Convolutional-Based Attention Module with Residual Network. [PDF]

Comput Intell Neurosci, 2021
Khan RU, Khattak H, Wong WS, AlSalman H, Mosleh MAA, Mizanur Rahman SM.   +5 more
europepmc   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units [PDF]

, 2007
This dissertation describes new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer.
Awad, George M.
core  

Isolated sign recognition using ASL datasets with consistent text-based gloss labeling and curriculum learning [PDF]

, 2022
We present a new approach for isolated sign recognition, which combines a spatial-temporal Graph Convolution Network (GCN) architecture for modeling human skeleton keypoints with late fusion of both the forward and backward video streams, and we explore ...
Neidle, Carol, Metaxas, Dimitris, Dafnis, Konstantinos M., Chroni, Evgenia, Metaxas, Dimitris N.   +4 more
core  

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, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

LINGUISTIC ASPECTS OF THE DEVELOPMENT OF COMPUTER SIGN LANGUAGE INTERPRETERS RUSSIAN LANGUAGE

Sovremennye Issledovaniâ Socialʹnyh Problem, 2013
The article is devoted to the actual direction of modern linguistics – describing the features of Russian sign language identified by the analysis of theoretical and empirical lexicographical sources, as well as in the process of communication with ...
Natalia Davidovna Ganelina, Mikhail Gennadyevich Grif, Olga Оlegovna Korolkova   +2 more
doaj  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Towards Trustworthy Sign Language Translation System: A Privacy-Preserving Edge–Cloud–Blockchain Approach

Mathematics
The growing Deaf and Hard-of-Hearing community faces communication challenges due to a global shortage of certified sign language interpreters. Therefore, developing efficient and secure sign language machine translation (SLMT) systems is essential ...
Nada Shahin, Leila Ismail
doaj   +1 more source