AIMC Topic: Gestures

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SignFormer-GCN: Continuous sign language translation using spatio-temporal graph convolutional networks.

PloS one Feb 14, 2025
Sign language is a complex visual language system that uses hand gestures, facial expressions, and body movements to convey meaning. It is the primary means of communication for millions of deaf and hard-of-hearing individuals worldwide. Tracking phy...
Sign Language Neural Networks, Computer Gestures Humans Translating
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A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning.

Sensors (Basel, Switzerland) Feb 13, 2025
Causal machine learning is an approach that combines causal inference and machine learning to understand and utilize causal relationships in data. In current research and applications, traditional machine learning and deep learning models always focu...
Humans Algorithms Gestures Principal Component Analysis Neural Networks, Computer Machine Learning Hand Pattern Recognition, Automated
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A low-cost transhumeral prosthesis operated via an ML-assisted EEG-head gesture control system.

Journal of neural engineering Feb 7, 2025
Key challenges in upper limb prosthetics include a lack of effective control systems, the often invasive surgical requirements of brain-controlled limbs, and prohibitive costs. As a result, disuse rates remain high despite potential for increased qua...
Prosthesis Design Adult Humans Head Male Neural Networks, Computer Electroencephalography Gestures Machine Learning Artificial Limbs
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Gesture recognition from surface electromyography signals based on the SE-DenseNet network.

Biomedizinische Technik. Biomedical engineering Jan 29, 2025
OBJECTIVES: In recent years, significant progress has been made in the research of gesture recognition using surface electromyography (sEMG) signals based on machine learning and deep learning techniques. The main motivation for sEMG gesture recognit...
Humans Machine Learning Algorithms Signal Processing, Computer-Assisted Convolutional Neural Networks Electromyography Gestures Pattern Recognition, Automated
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Real-Time On-Device Continual Learning Based on a Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition.

Sensors (Basel, Switzerland) Jan 13, 2025
Sensor-based gesture recognition on mobile devices is critical to human-computer interaction, enabling intuitive user input for various applications. However, current approaches often rely on server-based retraining whenever new gestures are introduc...
Smartphone Pattern Recognition, Automated Machine Learning Algorithms Gestures Humans
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A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery.

International journal of computer assisted radiology and surgery Jan 12, 2025
PURPOSE: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk m...
Deep Learning Gestures Humans Minimally Invasive Surgical Procedures Robotic Surgical Procedures
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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...
Gestures Metals Sign Language Humans Machine Learning Nickel Wearable Electronic Devices
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TCNN-KAN: Optimized CNN by Kolmogorov-Arnold Network and Pruning Techniques for sEMG Gesture Recognition.

IEEE journal of biomedical and health informatics Jan 7, 2025
Surface electromyography (sEMG) is a non-invasive technique that records the electrical signals generated by muscle activity. sEMG signals are widely used in the field of biomedical and health informatics for diagnosing and monitoring neuromuscular d...
Male Gestures Electromyography Signal Processing, Computer-Assisted Female Young Adult Adult Neural Networks, Computer Algorithms Humans
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Seeking a Hierarchical Prototype for Multimodal Gesture Recognition.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Gesture recognition has drawn considerable attention from many researchers owing to its wide range of applications. Although significant progress has been made in this field, previous works always focus on how to distinguish between different gesture...
Gestures Pattern Recognition, Automated Neural Networks, Computer Algorithms Humans
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Haptiknit: Distributed stiffness knitting for wearable haptics.

Science robotics Dec 18, 2024
Haptic devices typically rely on rigid actuators and bulky power supply systems, limiting wearability. Soft materials improve comfort, but careful distribution of stiffness is required to ground actuation forces and enable load transfer to the skin. ...
Vibration Male Touch Young Adult Wearable Electronic Devices Touch Perception User-Computer Interface Adult Humans Textiles Equipment Design Gestures Robotics Female Forearm
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