AIMC Topic: Sign Language

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Low-cost computation for isolated sign language video recognition with multiple reservoir computing.

PloS one Jul 30, 2025
Sign language recognition (SLR) has the potential to bridge communication gaps and empower hearing-impaired communities. To ensure the portability and accessibility of the SLR system, its implementation on a portable, server-independent device become...
Humans Video Recording Sign Language Neural Networks, Computer Deep Learning
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Self-Assembly MXene/PDA@Cotton Fabric Pressure Sensor Integrated with Deep Learning for Sign Language Recognition.

ACS applied materials & interfaces Jul 11, 2025
In recent years, smart textiles and flexible wearable products have garnered significant attention in fields such as human-computer interaction, medical rehabilitation training, and motion monitoring. Flexible pressure sensors have attracted signific...
Nitrites Sign Language Transition Elements Deep Learning Wearable Electronic Devices Humans Pressure Cotton Fiber Polymers Indoles
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A novel model for expanding horizons in sign Language recognition.

Scientific reports Jul 8, 2025
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 correspon...
Humans Gestures Sign Language Algorithms Deep Learning
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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning.

Scientific reports Jul 1, 2025
Sign language (SL) is the linguistics of speech and hearing-impaired individuals. The hand gesture is the primary model employed in SL by speech and hearing-challenged people to talk with themselves and ordinary persons. At present, hand gesture dete...
Beluga Whale Persons with Hearing Disabilities Sign Language Animals Deep Learning Gestures Hearing Loss Humans
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Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition.

Scientific reports Jun 26, 2025
Arabic sign language (ArSL) is a visual-manual language which facilitates communication among Deaf people in the Arabic-speaking nations. Recognizing the ArSL is crucial due to variety of reasons, including its impact on the Deaf populace, education,...
Sign Language Attention Humans Algorithms Deep Learning
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Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model.

Scientific reports Jun 23, 2025
Gesture recognition plays a vital role in computer vision, especially for interpreting sign language and enabling human-computer interaction. Many existing methods struggle with challenges like heavy computational demands, difficulty in understanding...
Sign Language Neural Networks, Computer Gestures Humans
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Airbag-like Comb Flexible Pressure Sensor and Its Wearable Applications.

ACS applied materials & interfaces Jun 1, 2025
Flexible wearable devices demonstrate immense potential in healthcare and human-computer interaction, yet the development of high-performance flexible pressure sensors for these applications remains a pressing technical challenge. Inspired by the str...
Wearable Electronic Devices Humans Pressure Air Bags Machine Learning Equipment Design Sign Language
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ASLDetect: Arabic sign language detection using ResNet and U-Net like component.

Scientific reports May 23, 2025
Sign languages are essential for communication among over 430 million deaf and hard-of-hearing individuals worldwide. However, recognizing Arabic Sign Language (ArSL) in real-world settings remains challenging due to issues like background noise, lig...
Sign Language Algorithms Gestures Humans Neural Networks, Computer
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Spanish to Mexican Sign Language glosses corpus for natural language processing tasks.

Scientific data Apr 26, 2025
This work shares a dataset that contains Spanish (SPA) to Mexican Sign Language (MSL) glosses -transcripted MSL- pairs of sentences for a downstream task. The methodology used to prepare the shared dataset considered the construction of SPA-to-MSL co...
Natural Language Processing Sign Language Mexico Humans Neural Networks, Computer
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Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking.

Sensors (Basel, Switzerland) Mar 28, 2025
Communication barriers pose significant challenges for the Deaf and Hard-of-Hearing (DHH) community, limiting their access to essential services, social interactions, and professional opportunities. To bridge this gap, assistive technologies leveragi...
Artificial Intelligence Gestures Humans Deep Learning Sign Language
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