AIMC Topic: Gestures

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Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN.

Sensors (Basel, Switzerland) Apr 14, 2024
Human action recognition (HAR) is growing in machine learning with a wide range of applications. One challenging aspect of HAR is recognizing human actions while playing music, further complicated by the need to recognize the musical notes being play...
Human Activities Music Deep Learning Gestures Pattern Recognition, Automated Movement Neural Networks, Computer Algorithms Humans
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Multimodal semi-supervised learning for online recognition of multi-granularity surgical workflows.

International journal of computer assisted radiology and surgery Apr 1, 2024
Purpose Surgical workflow recognition is a challenging task that requires understanding multiple aspects of surgery, such as gestures, phases, and steps. However, most existing methods focus on single-task or single-modal models and rely on costly an...
Humans Neural Networks, Computer Supervised Machine Learning Video Recording Gestures Workflow
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EMG-based Multi-User Hand Gesture Classification via Unsupervised Transfer Learning Using Unknown Calibration Gestures.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 12, 2024
The poor generalization performance and heavy training burden of the gesture classification model contribute as two main barriers that hinder the commercialization of sEMG-based human-machine interaction (HMI) systems. To overcome these challenges, e...
Calibration Machine Learning Gestures Humans Algorithms Electromyography Neural Networks, Computer
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Deep learning approach to improve the recognition of hand gesture with multi force variation using electromyography signal from amputees.

Medical engineering & physics Feb 28, 2024
Variations in muscular contraction are known to significantly impact the quality of the generated EMG signal and the output decision of a proposed classifier. This is an issue when the classifier is further implemented in prosthetic hand design. Ther...
Deep Learning Gestures Neural Networks, Computer Electromyography Algorithms Amputees Humans
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Continuous Gesture Control of a Robot Arm: Performance Is Robust to a Variety of Hand-to-Robot Maps.

IEEE transactions on bio-medical engineering Feb 26, 2024
OBJECTIVE: Despite advances in human-machine-interface design, we lack the ability to give people precise and fast control over high degree of freedom (DOF) systems, like robotic limbs. Attempts to improve control often focus on the static map that l...
Humans Robotics Hand Learning Gestures Movement
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The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals.

Sensors (Basel, Switzerland) Feb 16, 2024
Interest in developing techniques for acquiring and decoding biological signals is on the rise in the research community. This interest spans various applications, with a particular focus on prosthetic control and rehabilitation, where achieving prec...
Electromyography Gestures Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Machine Learning-Enabled Environmentally Adaptable Skin-Electronic Sensor for Human Gesture Recognition.

ACS applied materials & interfaces Feb 8, 2024
Stretchable sensors have been widely investigated and developed for the purpose of human motion detection, touch sensors, and healthcare monitoring, typically converting mechanical/structural deformation into electrical signals. The viscoelastic stra...
Motion Robotics Electronics Humans Wearable Electronic Devices Gestures
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The research of touch screen usability in civil aircraft cockpit.

PloS one Feb 8, 2024
With the advancement of touch screen technology, the application of touch screens in civil aircraft cockpits has become increasingly popular. However, further analysis and research are required to fully promote its applications. The paper researched ...
Workload Task Performance and Analysis Gestures Humans Aircraft Technology
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The Role of Coherent Robot Behavior and Embodiment in Emotion Perception and Recognition During Human-Robot Interaction: Experimental Study.

JMIR human factors Jan 26, 2024
BACKGROUND: Social robots are becoming increasingly important as companions in our daily lives. Consequently, humans expect to interact with them using the same mental models applied to human-human interactions, including the use of cospeech gestures...
Gestures Emotions Robotics Perception Humans Nonverbal Communication
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Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals.

Artificial intelligence in medicine Jan 17, 2024
Accurate finger gesture recognition with surface electromyography (sEMG) is essential and long-challenge in the muscle-computer interface, and many high-performance deep learning models have been developed to predict gestures. For these models, probl...
Attention Recognition, Psychology Gestures Electromyography Neural Networks, Computer Algorithms
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