Current trends and confounding factors in myoelectric control: Limb position and contraction intensity
This manuscript presents a hybrid study of a comprehensive review and a systematic
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
TC-Net: A Transformer Capsule Network for EEG-based emotion recognition
Deep learning has recently achieved remarkable success in emotion recognition based on
Electroencephalogram (EEG), in which convolutional neural networks (CNNs) are the mostly …
Electroencephalogram (EEG), in which convolutional neural networks (CNNs) are the mostly …
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition
Hands are two of the most crucial organs and they play major role for human activities.
Therefore, amputee people experience many difficulties in daily life. To overcome these …
Therefore, amputee people experience many difficulties in daily life. To overcome these …
Surface electromyography (EMG) signal processing, classification, and practical considerations
Electromyography (EMG) is the process of measuring the electrical activity produced by
muscles throughout the body using electrodes on the surface of the skin or inserted in the …
muscles throughout the body using electrodes on the surface of the skin or inserted in the …
Toward generalization of sEMG-based pattern recognition: A novel feature extraction for gesture recognition
Gesture recognition via surface electromyography (sEMG) has drawn significant attention in
the field of human–computer interaction. An important factor limiting the performance of …
the field of human–computer interaction. An important factor limiting the performance of …
Improved high-density myoelectric pattern recognition control against electrode shift using data augmentation and dilated convolutional neural network
Objective: the objective of this work is to develop a robust method for myoelectric control
towards alleviating the interference of electrode shift. M ethods: In the proposed method, a …
towards alleviating the interference of electrode shift. M ethods: In the proposed method, a …
Comparing EMG-based human-machine interfaces for estimating continuous, coordinated movements
Electromyography (EMG)-based interfaces are trending toward continuous, simultaneous
control with multiple degrees of freedom. Emerging methods range from data-driven …
control with multiple degrees of freedom. Emerging methods range from data-driven …
Multiuser gesture recognition using sEMG signals via canonical correlation analysis and optimal transport
Myoelectric interfaces have received much attention in the field of prosthesis control, neuro-
rehabilitation systems and human-computer interaction. However, when different users …
rehabilitation systems and human-computer interaction. However, when different users …
Watershed health assessment using the coupled integrated multistatistic analyses and PSIR framework
T Duan, J Feng, X Chang, Y Li - Science of the Total Environment, 2022 - Elsevier
Quantitatively assessing watershed health under anthropogenic activities and management
responses is important for the scientific planning and management of watersheds. The …
responses is important for the scientific planning and management of watersheds. The …
Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework
The cross-user gesture recognition is a puzzle in the myoelectric control system, owing to
great variability in muscle activities across different users. To address this problem, a novel …
great variability in muscle activities across different users. To address this problem, a novel …