AIMC Topic: Gestures

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From Forearm to Wrist: Deep Learning for Surface Electromyography-Based Gesture Recognition.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 15, 2024
Though the forearm is the focus of the prostheses, myoelectric control with the electrodes on the wrist is more comfortable for general consumers because of its unobtrusiveness and incorporation with the existing wrist-based wearables. Recently, deep...
Humans Deep Learning Electromyography Forearm Gestures Wrist
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Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 12, 2024
With the goal of promoting the development of myoelectric control technology, this paper focuses on exploring graph neural network (GNN) based robust electromyography (EMG) pattern recognition solutions. Given that high-density surface EMG (HD-sEMG) ...
Gestures Humans Neural Networks, Computer Electromyography Algorithms
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Exploring the impact of human-robot interaction on workers' mental stress in collaborative assembly tasks.

Applied ergonomics Jan 5, 2024
Advances in robotics have contributed to the prevalence of human-robot collaboration (HRC). However, working and interacting with collaborative robots in close proximity can be psychologically stressful. Therefore, understanding the impacts of human-...
Humans Gestures Galvanic Skin Response Electromyography Workplace Robotics
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LSTM-MSA: A Novel Deep Learning Model With Dual-Stage Attention Mechanisms Forearm EMG-Based Hand Gesture Recognition.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 7, 2023
This paper introduces the Long Short-Term Memory with Dual-Stage Attention (LSTM-MSA) model, an approach for analyzing electromyography (EMG) signals. EMG signals are crucial in applications like prosthetic control, rehabilitation, and human-computer...
Electromyography Humans Deep Learning Upper Extremity Forearm Gestures
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Real-Time Robotic Presentation Skill Scoring Using Multi-Model Analysis and Fuzzy Delphi-Analytic Hierarchy Process.

Sensors (Basel, Switzerland) Dec 5, 2023
Existing methods for scoring student presentations predominantly rely on computer-based implementations and do not incorporate a robotic multi-classification model. This limitation can result in potential misclassification issues as these approaches ...
Gestures Emotions Humans Research Design Robotics Analytic Hierarchy Process
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Glove-Based Hand Gesture Recognition for Diver Communication.

IEEE transactions on neural networks and learning systems Nov 30, 2023
We have developed a smart dive glove that recognizes 13 static hand gestures used in diving communication. The smart glove employs five dielectric elastomer sensors to capture finger motion and implements a machine learning classifier in the onboard ...
Algorithms Gestures Support Vector Machine Bayes Theorem Humans Neural Networks, Computer
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A Multimodal Multilevel Converged Attention Network for Hand Gesture Recognition With Hybrid sEMG and A-Mode Ultrasound Sensing.

IEEE transactions on cybernetics Nov 29, 2023
Gesture recognition based on surface electromyography (sEMG) has been widely used in the field of human-machine interaction (HMI). However, sEMG has limitations, such as low signal-to-noise ratio and insensitivity to fine finger movements, so we cons...
Fingers Neural Networks, Computer Gestures Humans Algorithms Electromyography
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Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep Learning.

IEEE transactions on biomedical circuits and systems Nov 21, 2023
In this work, we present a hardware-software solution to improve the robustness of hand gesture recognition to confounding factors in myoelectric control. The solution includes a novel, full-circumference, flexible, 64-channel high-density electromyo...
Humans Electromyography Algorithms Forearm Deep Learning Wearable Electronic Devices Gestures
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Joint Reconfiguration after Failure for Performing Emblematic Gestures in Humanoid Receptionist Robot.

Sensors (Basel, Switzerland) Nov 20, 2023
This study proposed a strategy for a quick fault recovery response when an actuator failure problem occurred while a humanoid robot with 7-DOF anthropomorphic arms was performing a task with upper body motion. The objective of this study was to devel...
Artificial Intelligence Algorithms Motion Gestures Robotics
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Deep Learning Technology to Recognize American Sign Language Alphabet.

Sensors (Basel, Switzerland) Sep 19, 2023
Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools to facilitate effective communication. However, advancements in modern technology have paved the way for the development of various tools and software ...
Deep Learning United States Humans Gestures Sign Language Technology Quality of Life
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