AIMC Topic: Sign Language

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Triboelectric Bending Sensors for AI-Enabled Sign Language Recognition.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 7, 2025
Human-machine interfaces and wearable electronics, as fundamentals to achieve human-machine interactions, are becoming increasingly essential in the era of the Internet of Things. However, contemporary wearable sensors based on resistive and capaciti...
Sign Language Humans Artificial Intelligence Wearable Electronic Devices
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Liquid-Metal-Based Multichannel Strain Sensor for Sign Language Gesture Classification Using Machine Learning.

ACS applied materials & interfaces Jan 7, 2025
Liquid metals are highly conductive like metallic materials and have excellent deformability due to their liquid state, making them rather promising for flexible and stretchable wearable sensors. However, patterning liquid metals on soft substrates h...
Machine Learning Wearable Electronic Devices Nickel Gestures Humans Sign Language Metals
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STCNet: Spatio-Temporal Cross Network with subject-aware contrastive learning for hand gesture recognition in surface EMG.

Computers in biology and medicine Dec 13, 2024
This paper introduces the Spatio-Temporal Cross Network (STCNet), a novel deep learning architecture tailored for robust hand gesture recognition in surface electromyography (sEMG) across multiple subjects. We address the challenges associated with t...
Humans Spatio-Temporal Analysis Pattern Analysis, Machine Deep Learning Electromyography Hand Sign Language
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Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review.

Sensors (Basel, Switzerland) Dec 5, 2024
Sign language (SL) is a means of communication that is used to bridge the gap between the deaf, hearing-impaired, and others. For Arabic speakers who are hard of hearing or deaf, Arabic Sign Language (ArSL) is a form of nonverbal communication. The d...
Humans Machine Learning Deep Learning Sign Language
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A Static Sign Language Recognition Method Enhanced with Self-Attention Mechanisms.

Sensors (Basel, Switzerland) Oct 29, 2024
For the current wearable devices in the application of cross-diversified user groups, it is common to face the technical difficulties of static sign language recognition accuracy attenuation, weak anti-noise ability, and insufficient system robustnes...
Pattern Recognition, Automated Sign Language Algorithms Wearable Electronic Devices Gestures Attention Humans Neural Networks, Computer
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Machine Learning-Assisted Gesture Sensor Made with Graphene/Carbon Nanotubes for Sign Language Recognition.

ACS applied materials & interfaces Sep 19, 2024
Gesture sensors are essential to collect human movements for human-computer interfaces, but their application is normally hampered by the difficulties in achieving high sensitivity and an ultrawide response range simultaneously. In this article, insp...
Nanotubes, Carbon Sign Language Machine Learning Deep Learning Gestures Graphite Humans Neural Networks, Computer
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Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People.

Sensors (Basel, Switzerland) Aug 19, 2024
Sign language is undoubtedly a common way of communication among deaf and non-verbal people. But it is not common among hearing people to use sign language to express feelings or share information in everyday life. Therefore, a significant communicat...
Neural Networks, Computer Machine Learning Smartphone Deafness Humans Persons with Hearing Disabilities Sign Language
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Cross-modal knowledge distillation for continuous sign language recognition.

Neural networks : the official journal of the International Neural Network Society Jul 30, 2024
Continuous Sign Language Recognition (CSLR) is a task which converts a sign language video into a gloss sequence. The existing deep learning based sign language recognition methods usually rely on large-scale training data and rich supervised informa...
Distillation Sign Language Neural Networks, Computer Deep Learning Humans
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Combinatorial Bionic Hierarchical Flexible Strain Sensor for Sign Language Recognition with Machine Learning.

ACS applied materials & interfaces Jul 15, 2024
Flexible strain sensors have been widely researched in fields such as smart wearables, human health monitoring, and biomedical applications. However, achieving a wide sensing range and high sensitivity of flexible strain sensors simultaneously remain...
Sign Language Printing, Three-Dimensional Bionics Wearable Electronic Devices Gestures Humans Machine Learning
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Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model.

Sensors (Basel, Switzerland) Jun 6, 2024
Sign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia. This shortage results in a large pro...
Saudi Arabia Language Humans Deep Learning Gestures Sign Language Neural Networks, Computer
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