Review of sEMG for robot control: Techniques and applications
T Song, Z Yan, S Guo, Y Li, X Li, F Xi - Applied Sciences, 2023 - mdpi.com
Surface electromyography (sEMG) is a promising technology that can capture muscle
activation signals to control robots through novel human–machine interfaces (HMIs). This …
activation signals to control robots through novel human–machine interfaces (HMIs). This …
Tinyradarnn: Combining spatial and temporal convolutional neural networks for embedded gesture recognition with short range radars
This work proposes a low-power high-accuracy embedded hand-gesture recognition
algorithm targeting battery-operated wearable devices using low-power short-range RADAR …
algorithm targeting battery-operated wearable devices using low-power short-range RADAR …
A transfer learning model for gesture recognition based on the deep features extracted by CNN
The surface electromyogram (sEMG) based hand gesture recognition is prevalent in human–
computer interface systems. However, the generalization of the recognition model does not …
computer interface systems. However, the generalization of the recognition model does not …
Interference-robust millimeter-wave radar-based dynamic hand gesture recognition using 2D CNN-transformer networks
B Jin, X Ma, Z Zhang, Z Lian… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Dynamic gesture recognition using millimeter-wave radar has a broad application prospect
in the industrial Internet of Things (IoT) field. However, the existing methods in the random …
in the industrial Internet of Things (IoT) field. However, the existing methods in the random …
Improving the robustness and adaptability of sEMG-based pattern recognition using deep domain adaptation
P Shi, X Zhang, W Li, H Yu - IEEE journal of biomedical and …, 2022 - ieeexplore.ieee.org
The pattern recognition (PR) based on surface electromyography (sEMG) could improve the
quality of daily life of amputees. However, the lack of robustness and adaptability hinders its …
quality of daily life of amputees. However, the lack of robustness and adaptability hinders its …
A wave-shaped electrode flexible sensor capable of sensitively responding to wrinkle excitation for a multifunctional human–computer interaction system
Y Chen, Z Wu, C Han, Z Cao, Y Hu, P Zhao, Y Wang - Nano Research, 2024 - Springer
Human–machine interactions (HMIs) have advanced rapidly in recent decades in the fields
of healthcare, work, and life. However, people with disabilities and other mobility problems …
of healthcare, work, and life. However, people with disabilities and other mobility problems …
Gaze-aware hand gesture recognition for intelligent construction
X Wang, D Veeramani, Z Zhu - Engineering Applications of Artificial …, 2023 - Elsevier
The advances in construction robotics in recent decades has been a powerful driver of
construction automation. User-friendly interfaces to support human–robot work collaboration …
construction automation. User-friendly interfaces to support human–robot work collaboration …
Wearable sensors-based hand gesture recognition for human–robot collaboration in construction
X Wang, D Veeramani, Z Zhu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The development of robotic machines has shown the potential to promote automation in
construction. One of the critical enablers of human–robot collaboration is a user-friendly …
construction. One of the critical enablers of human–robot collaboration is a user-friendly …
Integration of Convolutional Neural Network and Vision Transformer for gesture recognition using sEMG
X Liu, L Hu, L Tie, L Jun, X Wang, X Liu - Biomedical Signal Processing …, 2024 - Elsevier
Currently, gesture recognition primarily utilizes Convolutional Neural Networks (CNNs) and
Recurrent Neural Networks (RNNs) among deep learning methods. However, the unique …
Recurrent Neural Networks (RNNs) among deep learning methods. However, the unique …
Gesture recognition of sEMG signal based on GASF-LDA feature enhancement and adaptive ABC optimized SVM
R Fu, B Zhang, H Liang, S Wang, Y Wang… - … Signal Processing and …, 2023 - Elsevier
The surface EMG signal (sEMG) is the potential signal produced by human muscle
movement, which is closely related to the movement pattern of the limb and widely used in …
movement, which is closely related to the movement pattern of the limb and widely used in …