AIMC Topic: Gestures

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Reproducing the caress gesture with an anthropomorphic robot: a feasibility study.

Bioinspiration & biomimetics Nov 22, 2024
Social robots have been widely used to deliver emotional, cognitive and social support to humans. The exchange of affective gestures, instead, has been explored to a lesser extent, despite phyisical interaction with social robots could provide the sa...
Manikins Equipment Design Feasibility Studies Biomimetics Female Young Adult Adult Gestures Robotics Biomechanical Phenomena Humans Male
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A Multi-Scale CNN for Transfer Learning in sEMG-Based Hand Gesture Recognition for Prosthetic Devices.

Sensors (Basel, Switzerland) Nov 7, 2024
Advancements in neural network approaches have enhanced the effectiveness of surface Electromyography (sEMG)-based hand gesture recognition when measuring muscle activity. However, current deep learning architectures struggle to achieve good generali...
Humans Neural Networks, Computer Algorithms Deep Learning Artificial Limbs Pattern Recognition, Automated Gestures Hand Electromyography
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A Static Sign Language Recognition Method Enhanced with Self-Attention Mechanisms.

Sensors (Basel, Switzerland) Oct 29, 2024
For the current wearable devices in the application of cross-diversified user groups, it is common to face the technical difficulties of static sign language recognition accuracy attenuation, weak anti-noise ability, and insufficient system robustnes...
Algorithms Wearable Electronic Devices Gestures Humans Neural Networks, Computer Attention Pattern Recognition, Automated Sign Language
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RingGesture: A Ring-Based Mid-Air Gesture Typing System Powered by a Deep-Learning Word Prediction Framework.

IEEE transactions on visualization and computer graphics Oct 10, 2024
Text entry is a critical capability for any modern computing experience, with lightweight augmented reality (AR) glasses being no exception. Designed for all-day wearability, a limitation of lightweight AR glass is the restriction to the inclusion of...
Humans Female Deep Learning Gestures Augmented Reality Computer Graphics Young Adult Adult Male
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Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach.

Scientific reports Sep 27, 2024
Hand gesture recognition based on sparse multichannel surface electromyography (sEMG) still poses a significant challenge to deployment as a muscle-computer interface. Many researchers have been working to develop an sEMG-based hand gesture recogniti...
Electromyography Pattern Recognition, Automated Gestures Signal Processing, Computer-Assisted Hand Humans Male Deep Learning Neural Networks, Computer Algorithms
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Machine Learning-Based Gesture Recognition Glove: Design and Implementation.

Sensors (Basel, Switzerland) Sep 23, 2024
In the evolving field of human-computer interaction (HCI), gesture recognition has emerged as a critical focus, with smart gloves equipped with sensors playing one of the most important roles. Despite the significance of dynamic gesture recognition, ...
Hand Pattern Recognition, Automated Machine Learning Gestures Humans User-Computer Interface Neural Networks, Computer
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Machine Learning-Assisted Gesture Sensor Made with Graphene/Carbon Nanotubes for Sign Language Recognition.

ACS applied materials & interfaces Sep 19, 2024
Gesture sensors are essential to collect human movements for human-computer interfaces, but their application is normally hampered by the difficulties in achieving high sensitivity and an ultrawide response range simultaneously. In this article, insp...
Sign Language Neural Networks, Computer Machine Learning Deep Learning Gestures Graphite Nanotubes, Carbon Humans
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Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 17, 2024
The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mitigate the concurrent interference of electrode shift and loosening, thereby improving the practicality of MPR-based gestural interfaces towards intell...
Pattern Recognition, Automated Humans Adult Neural Networks, Computer Support Vector Machine Male Female Algorithms Electromyography Gestures Reproducibility of Results Electrodes Young Adult
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Improving Hand Gesture Recognition Robustness to Dynamic Posture Variations by Multimodal Deep Feature Fusion.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 28, 2024
Surface electromyography (sEMG), a human-machine interface for gesture recognition, has shown promising potential for decoding motor intentions, but a variety of nonideal factors restrict its practical application in assistive robots. In this paper, ...
Algorithms Female Young Adult Electromyography Humans Healthy Volunteers Neural Networks, Computer Pattern Recognition, Automated Gestures Adult Discriminant Analysis Posture Male Hand Deep Learning
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Human hand gesture recognition using fast Fourier transform with coot optimization based on deep neural network.

Network (Bristol, England) Aug 21, 2024
Hand motion detection is particularly important for managing the movement of individuals who have limbs amputated. The existing algorithm is complex, time-consuming and difficult to achieve better accuracy. A DNN is suggested to recognize human hand ...
Deep Learning Gestures Signal Processing, Computer-Assisted Pattern Recognition, Automated Movement Hand Electromyography Humans Neural Networks, Computer Algorithms Fourier Analysis
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