AIMC Topic: Gestures

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Enhancing surface electromyographic signal recognition accuracy for trans-radial amputees using broad learning systems.

Biomedical physics & engineering express Jul 28, 2025
Gesture recognition based on surface electromyography (sEMG) plays a crucial role in human-computer interaction. By analyzing sEMG signals generated from residual forearm muscle activity in trans-radial amputees, it is possible to predict their hand ...
Humans Machine Learning Algorithms Forearm Pattern Recognition, Automated Movement Muscle, Skeletal Signal Processing, Computer-Assisted Hand Electromyography Amputees Female Male Adult Artificial Limbs Middle Aged Gestures
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Development of an artificial intelligence algorithm for automated surgical gestures annotation.

Journal of robotic surgery Jul 18, 2025
Surgical gestures analysis is a promising method to assess surgical procedure quality, but manual annotation is time-consuming. We aimed to develop a recurrent neural network for automated surgical gesture annotation using simulated robot-assisted ra...
Humans Neural Networks, Computer Gestures Robotic Surgical Procedures Video Recording Artificial Intelligence Algorithms Male
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An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

Journal of neural engineering Jul 10, 2025
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often lim...
Male Gestures Electroencephalography Young Adult Adult Electromyography Brain-Computer Interfaces Upper Extremity Humans Machine Learning Algorithms Female
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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...
Sign Language Algorithms Deep Learning Gestures Humans
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Self-Healing Triboelectric Sensors with Enhanced Durability for Gesture Recognition and Human-Machine Interaction.

Nano letters Jul 1, 2025
The emergence of triboelectric nanogenerators (TENGs) has significantly developed the landscape of wearable electronics. However, the durability and self-healing capabilities of TENGs remain challenging. Herein, a self-healing triboelectric nanogener...
Man-Machine Systems Humans Wearable Electronic Devices Gestures Equipment Design Nanotechnology
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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 Beluga Whale Hearing Loss Deep Learning Persons with Hearing Disabilities Gestures Sign Language
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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...
Algorithms Gestures Sign Language Humans Neural Networks, Computer
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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...
Female Humans Mobile Applications Adult Artificial Intelligence Smoking Male Smoking Cessation Middle Aged Gestures HIV Infections
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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...
Nanocomposites Gestures Nanotechnology Dimethylpolysiloxanes Robotics Humans Polyvinyls Equipment Design Wearable Electronic Devices Electric Power Supplies
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