AIMC Topic: Gestures

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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...
Humans Animals Deep Learning Persons with Hearing Disabilities Sign Language Beluga Whale Gestures Hearing Loss
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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...
Humans Neural Networks, Computer Gestures 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...
Humans Neural Networks, Computer Sign Language Algorithms Gestures
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A Robust Cross-Platform Solution With the Sense2Quit System to Enhance Smoking Gesture Recognition: Model Development and Validation Study.

Journal of medical Internet research May 20, 2025
BACKGROUND: Smoking is a leading cause of preventable death, and people with HIV have higher smoking rates and are more likely to experience smoking-related health issues. The Sense2Quit study introduces innovative advancements in smoking cessation t...
Smoking Cessation Mobile Applications Smoking Adult Male Gestures HIV Infections Middle Aged Artificial Intelligence Female Humans
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Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction.

Scientific reports May 8, 2025
As flexible and wearable electronics play more and more important role in smart watches, smart glass and virtual reality, and the power supply to the wearable electronics have been revealed more attentions for long-term usage and continuous healthy m...
Electric Power Supplies Equipment Design Gestures Nanocomposites Dimethylpolysiloxanes Nanotechnology Humans Robotics Polyvinyls Wearable Electronic Devices
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Efficient control of spider-like medical robots with capsule neural networks and modified spring search algorithm.

Scientific reports Apr 22, 2025
This study introduces an innovative method for gesture recognition in medical robotics, utilizing Capsule Neural Networks (CNNs) in conjunction with the Modified Spring Search Algorithm (MSSA). This approach achieves remarkable efficiency in gesture ...
Neural Networks, Computer Algorithms Robotics Robotic Surgical Procedures Gestures Humans
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Understanding Robot Gesture Perception in Children with Autism Spectrum Disorder during Human-Robot Interaction.

International journal of neural systems Apr 16, 2025
Social robots are increasingly being used in therapeutic contexts, especially as a complement in the therapy of children with Autism Spectrum Disorder (ASD). Because of this, the aim of this study is to understand how children with ASD perceive and i...
Robotics Nonverbal Communication Female Male Child Emotions Gestures Humans Autism Spectrum Disorder
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sEMG-Based Gesture Recognition via Multi-Feature Fusion Network.

IEEE journal of biomedical and health informatics Apr 4, 2025
The sparse surface electromyography-based gesture recognition suffers from the problems of feature information not richness and poor generalization to small sample data. Therefore, a multi-feature fusion network (MFF-Net) model is proposed in this pa...
Pattern Recognition, Automated Adult Male Algorithms Signal Processing, Computer-Assisted Humans Female Electromyography Gestures Neural Networks, Computer Young Adult
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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 Deep Learning Humans Gestures Sign Language
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Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons.

Scientific reports Mar 18, 2025
Sign language (SL) is an effective mode of communication, which uses visual-physical methods like hand signals, expressions, and body actions to communicate between the difficulty of hearing and the deaf community, produce opinions, and carry signifi...
Sign Language Hand Persons with Hearing Disabilities Algorithms Humans Deep Learning Gestures
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