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Robust Feature and Channel Selection for HD-sEMG-Based Finger Force Estimation Using Regression and Deep Learning Models

https://doi.org/10.2139/ssrn.7395418
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inferredcites →https://doi.org/10.1007/s40747-021-00338-5openalex-snapshot
A novel sEMG-based force estimation method using deep-learning algorithm
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EEG analysis based on time domain properties
inferredcites →https://doi.org/10.1016/j.aej.2020.01.007openalex-snapshot
Grasping force prediction based on sEMG signals
inferredcites →https://doi.org/10.1016/j.bspc.2024.107323openalex-snapshot
EMG feature extraction and muscle selection for continuous upper limb movement regression
inferredcites →https://doi.org/10.1016/j.bspc.2026.110296openalex-snapshot
EMamba: A Mamba-based framework for EMG gesture recognition via discriminative heatmap representations
inferredcites →https://doi.org/10.1016/j.cap.2010.11.051openalex-snapshot
Comparison of k-nearest neighbor, quadratic discriminant and linear discriminant analysis in classification of electromyogram signals based on the wrist-motion directions
inferredcites →https://doi.org/10.1016/j.cmpb.2014.06.013openalex-snapshot
Feature extraction of the first difference of EMG time series for EMG pattern recognition
inferredcites →https://doi.org/10.1016/j.compeleceng.2017.04.003openalex-snapshot
Pattern recognition of electromyography signals based on novel time domain features for amputees' limb motion classification
inferredcites →https://doi.org/10.1016/j.eswa.2012.01.102openalex-snapshot
Feature reduction and selection for EMG signal classification
inferredcites →https://doi.org/10.1016/j.eswa.2012.03.039openalex-snapshot
Fractal analysis features for weak and single-channel upper-limb EMG signals
inferredcites →https://doi.org/10.1016/j.jelekin.2004.09.001openalex-snapshot
Prediction of handgrip forces using surface EMG of forearm muscles
inferredcites →https://doi.org/10.1016/j.neucom.2017.11.077openalex-snapshot
Feature selection in machine learning: A new perspective
inferredcites →https://doi.org/10.1016/j.proeng.2012.07.225openalex-snapshot
Surface Electromyography (sEMG)-based Thumb-tip Angle and Force Estimation Using Artificial Neural Network for Prosthetic Thumb
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1098/rsif.2017.0734openalex-snapshot
Navigating features: a topologically informed chart of electromyographic features space
inferredcites →https://doi.org/10.1109/access.2020.2966007openalex-snapshot
Cross-Comparison of EMG-to-Force Methods for Multi-DoF Finger Force Prediction Using One-DoF Training
inferredcites →https://doi.org/10.1109/access.2022.3170483openalex-snapshot
Forearm Orientation and Muscle Force Invariant Feature Selection Method for Myoelectric Pattern Recognition
inferredcites →https://doi.org/10.1109/access.2023.3323586openalex-snapshot
Continuous Gesture Recognition and Force Estimation Using sEMG Signal
inferredcites →https://doi.org/10.1109/access.2024.3482192openalex-snapshot
Empirical Study of Feature Selection Methods in Regression for Large-Scale Healthcare Data: A Case Study on Estimating Dental Expenditures
inferredcites →https://doi.org/10.1109/access.2025.3529986openalex-snapshot
Implementation of a Real-Time Force Estimation System Based on sEMG Signals and Gaussian Process Regression: Human–Robot Interaction in Rehabilitation
inferredcites →https://doi.org/10.1109/jbhi.2023.3262316openalex-snapshot
Explainable and Robust Deep Forests for EMG-Force Modeling
inferredcites →https://doi.org/10.1109/jbhi.2024.3383598openalex-snapshot
Decomposing Task-Relevant Information From Surface Electromyogram for User-Generic Dexterous Finger Force Decoding
inferredcites →https://doi.org/10.1109/lra.2024.3433748openalex-snapshot
A Frequency-Based Attention Neural Network and Subject-Adaptive Transfer Learning for sEMG Hand Gesture Classification
inferredcites →https://doi.org/10.1109/tbme.2006.870246openalex-snapshot
Improving EMG-Based Muscle Force Estimation by Using a High-Density EMG Grid and Principal Component Analysis
inferredcites →https://doi.org/10.1109/tnsre.2020.3042788openalex-snapshot
Muscle Force Estimation Based on Neural Drive Information From Individual Motor Units
inferredcites →https://doi.org/10.1109/tnsre.2021.3082551openalex-snapshot
Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings
inferredcites →https://doi.org/10.1109/tnsre.2022.3196926openalex-snapshot
A Simultaneous Gesture Classification and Force Estimation Strategy Based on Wearable A-Mode Ultrasound and Cascade Model
inferredcites →https://doi.org/10.1109/tnsre.2025.3541227openalex-snapshot
High-Density EMG Grip Force Estimation During Muscle Fatigue via Domain Adaptation
inferredcites →https://doi.org/10.1186/s13634-024-01183-7openalex-snapshot
Force estimation for human–robot interaction using electromyogram signals from varied arm postures
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.5897/jetr11.067openalex-snapshot
Electromyographic (EMG) signal to joint torque processing and effect of various factors on EMG to torque model
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