Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview
Human lower limb activity recognition (HLLAR) has grown in popularity over the last decade
mainly because to its applications in the identification and control of neuromuscular …
mainly because to its applications in the identification and control of neuromuscular …
Review and analysis of patients' body language from an artificial intelligence perspective
Body language is a nonverbal communication process consisting of movements, postures,
gestures, and expressions of the body or body parts. Body language expresses human …
gestures, and expressions of the body or body parts. Body language expresses human …
A hybrid WD-EEMD sEMG feature extraction technique for lower limb activity recognition
Classification and analysis of surface EMG (sEMG) signals have been of particular interest
due to their numerous applications in the biomedical field. They can be used for the …
due to their numerous applications in the biomedical field. They can be used for the …
Hardware implementation for lower limb surface EMG measurement and analysis using explainable AI for activity recognition
A Vijayvargiya, P Singh, R Kumar… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Electromyography (EMG) signals are gaining popularity for several biomedical applications,
including pattern recognition, disease detection, human–machine interfaces, medical image …
including pattern recognition, disease detection, human–machine interfaces, medical image …
Human knee abnormality detection from imbalanced sEMG data
The classification of imbalanced datasets, especially in medicine, is a major problem in data
mining. Such a problem is evident in analyzing normal and abnormal subjects about knee …
mining. Such a problem is evident in analyzing normal and abnormal subjects about knee …
An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet
C Zhang, Y Li, Z Yu, X Huang, J Xu, C Deng - Expert Systems with …, 2023 - Elsevier
Recently, lower limb activity recognition (LLAR) based on surface electromyography (sEMG)
signal has attracted increasing attention, mainly due to its applications in the control of …
signal has attracted increasing attention, mainly due to its applications in the control of …
Voting-based 1D CNN model for human lower limb activity recognition using sEMG signal
Surface electromyography (sEMG) signal classification has many applications such as
human-machine interaction, diagnosis of kinesiological studies, and neuromuscular …
human-machine interaction, diagnosis of kinesiological studies, and neuromuscular …
Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition
C Zhang, X Wang, Z Yu, B Wang, C Deng - Engineering Applications of …, 2024 - Elsevier
Currently, the fusion of surface Electromyography (EMG) and deep learning is gradually
showing immense potential in the research of Lower Limb Motion Intention Recognition …
showing immense potential in the research of Lower Limb Motion Intention Recognition …
Hybrid Deep Learning Approaches for sEMG Signal‐Based Lower Limb Activity Recognition
Lower limb activity recognition utilizing body sensor data has attracted researchers due to its
practical applications, such as neuromuscular disease detection and kinesiological …
practical applications, such as neuromuscular disease detection and kinesiological …
Comparative analysis of machine learning techniques for the classification of knee abnormality
Knee abnormality is a major problem in elderly people these days. It can be diagnosed by
using Magnetic Resonance Imaging (MRI) or X-Ray imaging techniques. X-Ray is only used …
using Magnetic Resonance Imaging (MRI) or X-Ray imaging techniques. X-Ray is only used …