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Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2009.116openalex-snapshot
Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms
inferredcites →https://doi.org/10.1002/0471678384.ch18openalex-snapshot
Control of Powered Upper Limb Prostheses
inferredcites →https://doi.org/10.1002/9780470549148openalex-snapshot
Biomechanics and Motor Control of Human Movement
inferredcites →https://doi.org/10.1002/wics.1275openalex-snapshot
Learning under nonstationarity: covariate shift and class‐balance change
inferredcites →https://doi.org/10.1007/978-3-030-01418-6_35openalex-snapshot
Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks
inferredcites →https://doi.org/10.1007/978-981-10-4086-3_59openalex-snapshot
Gesture Recognition and Machine Learning Applied to Sign Language Translation
inferredcites →https://doi.org/10.1007/bf00337255openalex-snapshot
A model for a motor unit train recorded during constant force isometric contractions
inferredcites →https://doi.org/10.1007/bf02350985openalex-snapshot
Surface electromyogram signal modelling
inferredcites →https://doi.org/10.1007/s00521-019-04142-8openalex-snapshot
Surface EMG hand gesture recognition system based on PCA and GRNN
inferredcites →https://doi.org/10.1007/s10439-007-9320-zopenalex-snapshot
Teager–Kaiser Energy Operation of Surface EMG Improves Muscle Activity Onset Detection
inferredcites →https://doi.org/10.1007/s40010-014-0148-2openalex-snapshot
Pattern Recognition of Eight Hand Motions Using Feature Extraction of Forearm EMG Signal
inferredcites →https://doi.org/10.1007/s40846-016-0188-yopenalex-snapshot
EMG Feature Set Selection Through Linear Relationship for Grasp Recognition
inferredcites →https://doi.org/10.1007/s42235-019-0052-1openalex-snapshot
Identification of Gesture Based on Combination of Raw sEMG and sEMG Envelope Using Supervised Learning and Univariate Feature Selection
inferredcites →https://doi.org/10.1016/0141-5425(83)90100-0openalex-snapshot
Patient controlled electrical stimulation via EMG signature discrimination for providing certain paraplegics with primitive walking functions
inferredcites →https://doi.org/10.1016/b978-0-323-28664-0.00004-7openalex-snapshot
Nerve Conduction Studies
inferredcites →https://doi.org/10.1016/j.bbe.2017.11.001openalex-snapshot
A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study
inferredcites →https://doi.org/10.1016/j.bspc.2007.07.009openalex-snapshot
Myoelectric control systems—A survey
inferredcites →https://doi.org/10.1016/j.bspc.2012.08.005openalex-snapshot
Pattern recognition of number gestures based on a wireless surface EMG system
inferredcites →https://doi.org/10.1016/j.bspc.2015.09.001openalex-snapshot
Spectral Collaborative Representation based Classification for hand gestures recognition on electromyography signals
inferredcites →https://doi.org/10.1016/j.bspc.2018.07.010openalex-snapshot
Robust hand gesture recognition with a double channel surface EMG wearable armband and SVM classifier
inferredcites →https://doi.org/10.1016/j.clinph.2009.10.040openalex-snapshot
Decoding the neural drive to muscles from the surface electromyogram
inferredcites →https://doi.org/10.1016/j.cviu.2015.08.004openalex-snapshot
Recent methods and databases in vision-based hand gesture recognition: A review
inferredcites →https://doi.org/10.1016/j.eswa.2017.03.012openalex-snapshot
Single channel surface EMG control of advanced prosthetic hands: A simple, low cost and efficient approach
inferredcites →https://doi.org/10.1016/j.ifacol.2018.07.179openalex-snapshot
Fuzzy Classification of Hand’s Motion
inferredcites →https://doi.org/10.1016/j.ijhcs.2004.09.001openalex-snapshot
Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts’ law research in HCI
inferredcites →https://doi.org/10.1016/j.infsof.2008.09.009openalex-snapshot
Systematic literature reviews in software engineering – A systematic literature review
inferredcites →https://doi.org/10.1016/j.jbiomech.2010.01.027openalex-snapshot
Filtering the surface EMG signal: Movement artifact and baseline noise contamination
inferredcites →https://doi.org/10.1016/j.jelekin.2014.06.009openalex-snapshot
On the usability of intramuscular EMG for prosthetic control: A Fitts’ Law approach
inferredcites →https://doi.org/10.1016/j.jksues.2019.05.001openalex-snapshot
Teleoperated robotic arm movement using electromyography signal with wearable Myo armband
inferredcites →https://doi.org/10.1016/j.jneumeth.2004.01.002openalex-snapshot
A new method for the extraction and classification of single motor unit action potentials from surface EMG signals
inferredcites →https://doi.org/10.1016/j.patrec.2019.07.021openalex-snapshot
EMG-based online classification of gestures with recurrent neural networks
inferredcites →https://doi.org/10.1016/j.pmr.2005.10.001openalex-snapshot
Targeted Reinnervation for Improved Prosthetic Function
inferredcites →https://doi.org/10.1016/j.procs.2015.04.227openalex-snapshot
Hand Motion Recognition from Single Channel Surface EMG Using Wavelet & Artificial Neural Network
inferredcites →https://doi.org/10.1016/s1050-6411(01)00033-5openalex-snapshot
Sampling, noise-reduction and amplitude estimation issues in surface electromyography
inferredcites →https://doi.org/10.1016/s1050-6411(97)00010-2openalex-snapshot
Surface EMG signal processing during isometric contractions
inferredcites →https://doi.org/10.1016/s1672-6529(16)60377-3openalex-snapshot
Design and Myoelectric Control of an Anthropomorphic Prosthetic Hand
inferredcites →https://doi.org/10.1037//0096-3445.121.3.262openalex-snapshot
The information capacity of the human motor system in controlling the amplitude of movement.
inferredcites →https://doi.org/10.1037/h0055392openalex-snapshot
The information capacity of the human motor system in controlling the amplitude of movement.
inferredcites →https://doi.org/10.1038/sdata.2014.53openalex-snapshot
Electromyography data for non-invasive naturally-controlled robotic hand prostheses
inferredcites →https://doi.org/10.1055/s-2007-989415openalex-snapshot
Selektive Nerventransfers zur verbesserten Steuerung myoelektrischer Armprothesen
inferredcites →https://doi.org/10.1088/1741-2552/aae9d4openalex-snapshot
On the robustness of real-time myoelectric control investigations: a multiday Fitts’ law approach
inferredcites →https://doi.org/10.1088/1741-2552/ab0e2eopenalex-snapshot
Regression convolutional neural network for improved simultaneous EMG control
inferredcites →https://doi.org/10.1109/10.204774openalex-snapshot
A new strategy for multifunction myoelectric control
inferredcites →https://doi.org/10.1109/10.594897openalex-snapshot
Improvement of spatial resolution in surface-EMG: a theoretical and experimental comparison of different spatial filters
inferredcites →https://doi.org/10.1109/10.914793openalex-snapshot
A wavelet-based continuous classification scheme for multifunction myoelectric control
inferredcites →https://doi.org/10.1109/biorob.2016.7523810openalex-snapshot
EMG pattern recognition using decomposition techniques for constructing multiclass classifiers
inferredcites →https://doi.org/10.1109/brc.2014.6880991openalex-snapshot
Identification of low level sEMG signals for individual finger prosthesis
inferredcites →https://doi.org/10.1109/cisp-bmei.2016.7852985openalex-snapshot
A wireless surface EMG acquisition and gesture recognition system
inferredcites →https://doi.org/10.1109/embc.2013.6610858openalex-snapshot
Improving EMG based classification of basic hand movements using EMD
inferredcites →https://doi.org/10.1109/embc.2015.7318567openalex-snapshot
Offline accuracy: A potentially misleading metric in myoelectric pattern recognition for prosthetic control
inferredcites →https://doi.org/10.1109/embc.2017.8036763openalex-snapshot
Simple space-domain features for low-resolution sEMG pattern recognition
inferredcites →https://doi.org/10.1109/embc.2018.8513534openalex-snapshot
Adjacent Features for High-Density EMG Pattern Recognition
inferredcites →https://doi.org/10.1109/embc.2019.8857264openalex-snapshot
Artificial Neural Network to Detect Human Hand Gestures for a Robotic Arm Control
inferredcites →https://doi.org/10.1109/etcm.2017.8247458openalex-snapshot
Real-time hand gesture recognition using the Myo armband and muscle activity detection
inferredcites →https://doi.org/10.1109/hmi.2016.7449200openalex-snapshot
SEMG based human computer interface for physically challenged patients
inferredcites →https://doi.org/10.1109/icarm.2018.8610832openalex-snapshot
Forearm Muscle Synergy Reducing Dimension of the Feature Matrix in Hand Gesture Recognition
inferredcites →https://doi.org/10.1109/icarm.2019.8834153openalex-snapshot
A Multi-Gestures Recognition System Based on Less sEMG Sensors
inferredcites →https://doi.org/10.1109/icasi.2017.7988433openalex-snapshot
Hand gesture recognition for post-stroke rehabilitation using leap motion
inferredcites →https://doi.org/10.1109/icassp.2019.8683104openalex-snapshot
EMG Wrist-hand Motion Recognition System for Real-time Embedded Platform
inferredcites →https://doi.org/10.1109/iccsii.2016.7462401openalex-snapshot
Gesture control of drone using a motion controller
inferredcites →https://doi.org/10.1109/iciea.2019.8833918openalex-snapshot
Pattern Recognition-Based Real Time Myoelectric System for Robotic Hand Control
inferredcites →https://doi.org/10.1109/icinfa.2015.7279744openalex-snapshot
A portable artificial robotic hand controlled by EMG signal using ANN classifier
inferredcites →https://doi.org/10.1109/icit.2015.7125342openalex-snapshot
Hybrid EMG classifier based on HMM and SVM for hand gesture recognition in prosthetics
inferredcites →https://doi.org/10.1109/icivpr.2017.7890854openalex-snapshot
Real time Hand Gesture Recognition using different algorithms based on American Sign Language
inferredcites →https://doi.org/10.1109/icmic.2014.7020734openalex-snapshot
Human-computer interaction system design based on surface EMG signals
inferredcites →https://doi.org/10.1109/icmla.2015.212openalex-snapshot
Real-Time American Sign Language Recognition System Using Surface EMG Signal
inferredcites →https://doi.org/10.1109/icmlc.2016.7872960openalex-snapshot
Muscle-gesture robot hand control based on sEMG signals with wavelet transform features and neural network classifier
inferredcites →https://doi.org/10.1109/icorr.2017.8009463openalex-snapshot
Decoding of individual finger movements from surface EMG signals using vector autoregressive hierarchical hidden Markov models (VARHHMM)
inferredcites →https://doi.org/10.1109/iembs.2001.1020453openalex-snapshot
Mouse cursor control system using EMG
inferredcites →https://doi.org/10.1109/iembs.2007.4353424openalex-snapshot
A Real-Time Pattern Recognition Based Myoelectric Control Usability Study Implemented in a Virtual Environment
inferredcites →https://doi.org/10.1109/iembs.2010.5626224openalex-snapshot
Selection of sampling rate for EMG pattern recognition based prosthesis control
inferredcites →https://doi.org/10.1109/iros.2016.7759384openalex-snapshot
A convolutional neural network for robotic arm guidance using sEMG based frequency-features
inferredcites →https://doi.org/10.1109/itaic.2019.8785894openalex-snapshot
Real-time Pattern Recognition for Hand Gesture Based on ANN and Surface EMG
inferredcites →https://doi.org/10.1109/iwasi.2017.7974234openalex-snapshot
A sub-10mW real-time implementation for EMG hand gesture recognition based on a multi-core biomedical SoC
inferredcites →https://doi.org/10.1109/jtehm.2017.2776925openalex-snapshot
Evaluation of Computer-Based Target Achievement Tests for Myoelectric Control
inferredcites →https://doi.org/10.1109/lsens.2019.2898257openalex-snapshot
Electromyography-Based Hand Gesture Recognition System for Upper Limb Amputees
inferredcites →https://doi.org/10.1109/maes.2004.1365016openalex-snapshot
Wavelet de-noising for IMU alignment
inferredcites →https://doi.org/10.1109/robio.2017.8324631openalex-snapshot
sEMG-based continuous hand gesture recognition using GMM-HMM and threshold model
inferredcites →https://doi.org/10.1109/sas.2018.8336782openalex-snapshot
Hand gestures recognition using machine learning for control of multiple quadrotors
inferredcites →https://doi.org/10.1109/smc.2017.8123083openalex-snapshot
Wearable armband for real time hand gesture recognition
inferredcites →https://doi.org/10.1109/svr.2016.21openalex-snapshot
Evaluating Sign Language Recognition Using the Myo Armband
inferredcites →https://doi.org/10.1109/tbcas.2015.2476555openalex-snapshot
A Versatile Embedded Platform for EMG Acquisition and Gesture Recognition
inferredcites →https://doi.org/10.1109/tbcas.2019.2955641openalex-snapshot
A Fully Embedded Adaptive Real-Time Hand Gesture Classifier Leveraging HD-sEMG and Deep Learning
inferredcites →https://doi.org/10.1109/tbcas.2019.2959160openalex-snapshot
Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor
inferredcites →https://doi.org/10.1109/tbme.1977.326175openalex-snapshot
A Nonstationary Model for the Electromyogram
inferredcites →https://doi.org/10.1109/tbme.1980.326652openalex-snapshot
Myoelectric Signal Processing: Optimal Estimation Applied to Electromyography - Part I: Derivation of the Optimal Myoprocessor
inferredcites →https://doi.org/10.1109/tbme.2003.813539openalex-snapshot
A robust, real-time control scheme for multifunction myoelectric control
inferredcites →https://doi.org/10.1109/tcds.2018.2830388openalex-snapshot
Real-Time Myocontrol of a Human–Computer Interface by Paretic Muscles After Stroke
inferredcites →https://doi.org/10.1109/tcsii.2016.2635674openalex-snapshot
The Virtual Trackpad: An Electromyography-Based, Wireless, Real-Time, Low-Power, Embedded Hand-Gesture-Recognition System Using an Event-Driven Artificial Neural Network
inferredcites →https://doi.org/10.1109/tnsre.2005.856072openalex-snapshot
Direct neural sensory feedback and control of a prosthetic arm
inferredcites →https://doi.org/10.1109/tnsre.2007.891391openalex-snapshot
The Optimal Controller Delay for Myoelectric Prostheses
inferredcites →https://doi.org/10.1109/tnsre.2008.2006216openalex-snapshot
Evaluation of Head Orientation and Neck Muscle EMG Signals as Command Inputs to a Human–Computer Interface for Individuals With High Tetraplegia
inferredcites →https://doi.org/10.1109/tnsre.2009.2039619openalex-snapshot
Quantifying Pattern Recognition—Based Myoelectric Control of Multifunctional Transradial Prostheses
inferredcites →https://doi.org/10.1109/tnsre.2010.2100828openalex-snapshot
Determining the Optimal Window Length for Pattern Recognition-Based Myoelectric Control: Balancing the Competing Effects of Classification Error and Controller Delay
inferredcites →https://doi.org/10.1109/tnsre.2012.2226189openalex-snapshot
Validation of a Selective Ensemble-Based Classification Scheme for Myoelectric Control Using a Three-Dimensional Fitts' Law Test
inferredcites →https://doi.org/10.1109/tnsre.2013.2247631openalex-snapshot
Real-Time Motor Unit Identification From High-Density Surface EMG
inferredcites →https://doi.org/10.1109/tnsre.2013.2278411openalex-snapshot
Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees
inferredcites →https://doi.org/10.1109/tnsre.2014.2305097openalex-snapshot
Real-Time and Simultaneous Control of Artificial Limbs Based on Pattern Recognition Algorithms
inferredcites →https://doi.org/10.1109/tnsre.2014.2305111openalex-snapshot
The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
inferredcites →https://doi.org/10.1109/tnsre.2014.2323576openalex-snapshot
Support Vector Regression for Improved Real-Time, Simultaneous Myoelectric Control
inferredcites →https://doi.org/10.1109/tnsre.2019.2896269openalex-snapshot
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
inferredcites →https://doi.org/10.1109/tsp.2019.8768831openalex-snapshot
Automatic EMG-based Hand Gesture Recognition System using Time-Domain Descriptors and Fully-Connected Neural Networks
inferredcites →https://doi.org/10.1109/vitecon.2019.8899619openalex-snapshot
Hand Gesture Recognition and Classification Technique in Real-Time
inferredcites →https://doi.org/10.1111/joim.12631openalex-snapshot
The P2X7 receptor– NLRP 3 inflammasome complex predicts the development of non‐Hodgkin's lymphoma in Sjogren's syndrome: a prospective, observational, single‐centre study
inferredcites →https://doi.org/10.1145/1476589.1476628openalex-snapshot
Response time in man-computer conversational transactions
inferredcites →https://doi.org/10.1145/1502650.1502708openalex-snapshot
Hand gesture recognition and virtual game control based on 3D accelerometer and EMG sensors
inferredcites →https://doi.org/10.1145/2601248.2601268openalex-snapshot
Guidelines for snowballing in systematic literature studies and a replication in software engineering
inferredcites →https://doi.org/10.1145/2641248.2641352openalex-snapshot
Towards EMG control interface for smart garments
inferredcites →https://doi.org/10.1145/3098279.3098553openalex-snapshot
User-independent real-time hand gesture recognition based on surface electromyography
inferredcites →https://doi.org/10.1155/2018/9728264openalex-snapshot
Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals
inferredcites →https://doi.org/10.1177/2055668318762063openalex-snapshot
Evaluating touchless capacitive gesture recognition as an assistive device for upper extremity mobility impairment
inferredcites →https://doi.org/10.1186/1743-0003-11-5openalex-snapshot
A comparison of the real-time controllability of pattern recognition to conventional myoelectric control for discrete and simultaneous movements
inferredcites →https://doi.org/10.1186/1743-0003-11-91openalex-snapshot
A real-time comparison between direct control, sequential pattern recognition control and simultaneous pattern recognition control using a Fitts’ law style assessment procedure
inferredcites →https://doi.org/10.1186/1751-0473-8-11openalex-snapshot
BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms
inferredcites →https://doi.org/10.1201/9780203736166openalex-snapshot
The Psychology of Human-Computer Interaction
inferredcites →https://doi.org/10.1590/2446-4740.08516openalex-snapshot
Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees
inferredcites →https://doi.org/10.1682/jrrd.2010.08.0149openalex-snapshot
Target Achievement Control Test: Evaluating real-time myoelectric pattern-recognition control of multifunctional upper-limb prostheses
inferredcites →https://doi.org/10.23919/eusipco.2017.8081366openalex-snapshot
Hand gesture recognition using machine learning and the Myo armband
inferredcites →https://doi.org/10.23919/eusipco.2018.8553126openalex-snapshot
Real-Time Hand Gesture Recognition Based on Artificial Feed-Forward Neural Networks and EMG
inferredcites →https://doi.org/10.23919/eusipco.2019.8903136openalex-snapshot
Real-Time Hand Gesture Recognition Model Using Deep Learning Techniques and EMG Signals
inferredcites →https://doi.org/10.3389/fnbot.2017.00007openalex-snapshot
Translating Research on Myoelectric Control into Clinics—Are the Performance Assessment Methods Adequate?
inferredcites →https://doi.org/10.3390/app9204402openalex-snapshot
Support Vector Machine-Based EMG Signal Classification Techniques: A Review
inferredcites →https://doi.org/10.3390/bdcc2030021openalex-snapshot
EMG Pattern Recognition in the Era of Big Data and Deep Learning
inferredcites →https://doi.org/10.3390/electronics8030259openalex-snapshot
A Study of Movement Classification of the Lower Limb Based on up to 4-EMG Channels
inferredcites →https://doi.org/10.3390/s130912431openalex-snapshot
Surface Electromyography Signal Processing and Classification Techniques
inferredcites →https://doi.org/10.3390/s16081304openalex-snapshot
A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions
inferredcites →https://doi.org/10.3390/s16081341openalex-snapshot
Recognition of Daily Gestures with Wearable Inertial Rings and Bracelets
inferredcites →https://doi.org/10.3390/s18051615openalex-snapshot
Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors
inferredcites →https://doi.org/10.3390/s19143170openalex-snapshot
Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network
inferredcites →https://doi.org/10.5014/ajot.39.6.386openalex-snapshot
Adult Norms for the Box and Block Test of Manual Dexterity
inferredcites →https://doi.org/10.7551/mitpress/9780262017091.001.0001openalex-snapshot
Machine Learning in Non-Stationary Environments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Assessing the Influence of Lstm and Post-Processing in Cnn Based Hand Gesture Recognition Using Emg
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Magnetic Skin for Touchless Human–Computer Interaction to Prevent Healthcare‐Associated Infections
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A Review of Hand Gesture Recognition Systems Based on Noninvasive Wearable Sensors
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Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction
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A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach
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An Interface for Audio Control Using Gesture Recognition and IMU Data
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EMG Pattern Recognition: A Systematic Review
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Virtual Control System for Presentations by Real-Time Hand Gesture Recognition Based on Machine Learning
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EMG Subspace Alignment and Visualization for Cross-Subject Hand Gesture Classification
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Multi Head Attention Layer for sEMG Gesture Classification: a Pilot Study Involving the Influence of Data Augmentation
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Enhanced EMG Pattern Recognition for Assistive Technologies Machine Learning Classifiers and Temporal Feature Extraction
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Comparing Deep Q-Learning and Reinforcement Learning Agents in Myoelectric Hand Prosthesis Control
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Optimizing Feature Extraction Methods Using Class Similarity Ratio for EMG-Based Hand Gesture Classification
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Motion Analysis of Hand Movement
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Basic Hand Movement Classification Using Q Factor Based Wavelet Scattering Transform
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Scientometric Insights into Gesture Recognition Research Using Convolutional Neural Networks and Edge AI
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Real-Time Hand Gesture Recognition for Human-NAO Robot Interaction
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Comparative Machine Learning Models for Sign Language Detection
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Image Processing-Based Presentation Control System Using Binary Logic Technique
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Modeling of Controller for Motor-Controlled Prosthetic Hand Based on Machine Learning Strategy in Classifying Two-Channel Surface EMG Signals
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Robust static hand gesture recognition: harnessing sparsity of deeply learned features
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Design and Development of a Robust Control Platform for a 3-Finger Robotic Gripper Using EMG-Derived Hand Muscle Signals in NI LabVIEW
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mIV3Net: modified inception V3 network for hand gesture recognition
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Fusion of kinematic and physiological sensors for hand gesture recognition
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Applying Hybrid Deep Neural Network for the Recognition of Sign Language Words Used by the Deaf COVID-19 Patients
inferred← citeshttps://doi.org/10.1007/s40010-026-01091-5openalex-snapshot
A Systematic Analysis on Recent Trends of Surface Electromyography for Hand Recognition
inferred← citeshttps://doi.org/10.1007/s42600-020-00082-8openalex-snapshot
Independent component analysis in multi-channel forearm surface electromyography processing on armband approach for hand gesture classification
inferred← citeshttps://doi.org/10.1007/s42600-025-00426-2openalex-snapshot
Online hand gesture recognition by sEMG: a system for Myo armband based on machine learning
inferred← citeshttps://doi.org/10.1016/b978-0-12-822118-1.00005-9openalex-snapshot
Real-time detection and processing of electromyography signal
inferred← citeshttps://doi.org/10.1016/b978-0-443-19073-5.00013-6openalex-snapshot
Introduction to biomedical signals and biomedical imaging
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107478openalex-snapshot
Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition
inferred← citeshttps://doi.org/10.1016/j.bbe.2021.03.006openalex-snapshot
Deep learning and machine learning techniques to improve hand movement classification in myoelectric control system
inferred← citeshttps://doi.org/10.1016/j.bbe.2022.04.001openalex-snapshot
EMG-controlled hand exoskeleton for assisted bilateral rehabilitation
inferred← citeshttps://doi.org/10.1016/j.birob.2026.100359openalex-snapshot
Human-in-the-Loop Reinforcement Learning for a Low-Cost Soft Myoelectric Prosthetic Hand
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105447openalex-snapshot
Estimating finger joint angles by surface EMG signal using feature extraction and transformer-based deep learning model
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105935openalex-snapshot
Electromyographic hand gesture recognition using convolutional neural network with multi-attention
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106828openalex-snapshot
An extended variational autoencoder for cross-subject electromyograph gesture recognition
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.107438openalex-snapshot
Dilated residual convolutional network for surface electromyographic hand gesture recognition
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108283openalex-snapshot
Linear non-conservative unsupervised domain adaptation for cross-subject EMG gesture recognition
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.109035openalex-snapshot
Impact of sampling frequency and signal quantization on myoelectric-based hand gesture recognition
inferred← citeshttps://doi.org/10.1016/j.cmpb.2026.109453openalex-snapshot
Deep learning-driven automatic segmentation of uterine peristalsis in intracavitary electrohysterography signals
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110094openalex-snapshot
Revolutionizing prosthetic hand control using non-invasive sensors and intelligent algorithms: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.dib.2022.107921openalex-snapshot
Dataset for multi-channel surface electromyography (sEMG) signals of hand gestures
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104772openalex-snapshot
NKDFF-CNN: A convolutional neural network with narrow kernel and dual-view feature fusion for multitype gesture recognition based on sEMG
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106160openalex-snapshot
Optimizing electrode positions on forearm to increase SNR and myoelectric pattern recognition performance
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106327openalex-snapshot
A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107251openalex-snapshot
Online cross session electromyographic hand gesture recognition using deep learning and transfer learning
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108952openalex-snapshot
A federated transfer learning approach for surface electromyographic hand gesture recognition with emphasis on privacy preservation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121055openalex-snapshot
A deep learning approach using attention mechanism and transfer learning for electromyographic hand gesture estimation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121224openalex-snapshot
Surface EMG feature disentanglement for robust pattern recognition
inferred← citeshttps://doi.org/10.1016/j.health.2022.100126openalex-snapshot
A systematic review on surface electromyography-based classification system for identifying hand and finger movements
inferred← citeshttps://doi.org/10.1016/j.irbm.2024.100823openalex-snapshot
Stylohyoid and Posterior Digastric Recruitment Pattern Evaluation in Swallowing and Non-swallowing Tasks
inferred← citeshttps://doi.org/10.1016/j.irbm.2026.100956openalex-snapshot
Multimodal sEMG and Accelerometer Data Fusion for Fine-Grained Hand Gesture Recognition
inferred← citeshttps://doi.org/10.1016/j.iswa.2024.200352openalex-snapshot
CNN-LSTM and post-processing for EMG-based hand gesture recognition
inferred← citeshttps://doi.org/10.1016/j.jvcir.2026.104840openalex-snapshot
A comprehensive survey of multi-modal manipulative hand gesture recognition: Sensors, datasets, and models
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.112498openalex-snapshot
Investigation of gesture recognition based on optical fiber Bragg grating sensors
inferred← citeshttps://doi.org/10.1016/j.procs.2023.10.535openalex-snapshot
Gestive: Evaluation of Multi-Class Classification Methods for Gesture Recognition to Improve Presentation Experience
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.110830openalex-snapshot
Non-invasive gesture recognition using PDMS-encapsulated polymer optical fiber Bragg gratings
inferred← citeshttps://doi.org/10.1016/j.sna.2022.113482openalex-snapshot
Finger motion detection based on optical fiber Bragg grating with polyimide substrate
inferred← citeshttps://doi.org/10.1016/j.tsc.2023.101297openalex-snapshot
Collaborative guessing game for EFL learning with kinesthetic recognition
inferred← citeshttps://doi.org/10.1038/s41528-021-00119-7openalex-snapshot
All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics
inferred← citeshttps://doi.org/10.1038/s41598-023-34540-xopenalex-snapshot
A Deep Q-Network based hand gesture recognition system for control of robotic platforms
inferred← citeshttps://doi.org/10.1038/s41598-025-00065-8openalex-snapshot
RaGeoSense for smart home gesture recognition using sparse millimeter wave radar point clouds
inferred← citeshttps://doi.org/10.1038/s41598-025-03766-2openalex-snapshot
Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals
inferred← citeshttps://doi.org/10.1038/s41598-025-28302-0openalex-snapshot
Calibration-free sEMG intention recognition via self-supervised pretraining and adversarial domain alignment for upper-limb rehabilitation
inferred← citeshttps://doi.org/10.1039/d5ta08892eopenalex-snapshot
A machine learning-enabled planar interdigitated thermogalvanic hydrogel for synergistic thermal and strain sensing
inferred← citeshttps://doi.org/10.1063/5.0131645openalex-snapshot
Design and implementation of a laboratory training device to simulate partial finger movement using an EMG intelligent controller
inferred← citeshttps://doi.org/10.1080/01691864.2025.2521092openalex-snapshot
Enhancing prosthetic hand control using deep hybrid model
inferred← citeshttps://doi.org/10.1080/10803548.2024.2322888openalex-snapshot
Exploratory analysis using machine learning algorithms to predict pinch strength by anthropometric and socio-demographic features
inferred← citeshttps://doi.org/10.1080/17483107.2025.2568947openalex-snapshot
Statistical evaluation of a fuzzy control system implemented on a low-cost microcontroller for wheelchair applications
inferred← citeshttps://doi.org/10.1088/1741-2552/ad4915openalex-snapshot
Understanding the influence of confounding factors in myoelectric control for discrete gesture recognition
inferred← citeshttps://doi.org/10.1088/1741-2552/ad4c98openalex-snapshot
Unveiling EMG semantics: a prototype-learning approach to generalizable gesture classification
inferred← citeshttps://doi.org/10.1088/2058-8585/ac6a96openalex-snapshot
Recent advances in wearable exoskeletons for human strength augmentation
inferred← citeshttps://doi.org/10.1093/nsr/nwad298openalex-snapshot
Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications
inferred← citeshttps://doi.org/10.1101/2022.01.06.475232openalex-snapshot
Feasibility of Using Wearable EMG Armbands combined with Unsupervised Transfer Learning for Seamless Myoelectric Control
inferred← citeshttps://doi.org/10.1101/2024.09.30.615946openalex-snapshot
Generalizable gesture recognition using magnetomyography
inferred← citeshttps://doi.org/10.1101/2025.09.10.675419openalex-snapshot
Sensitivity of Non-Invasive Motor-Unit-Based Gesture Recognition to Signal Degradation
inferred← citeshttps://doi.org/10.1108/ec-02-2024-0114openalex-snapshot
Convolution neural network based multi-class classification of rehabilitation exercises for diastasis recti abdominis using wearable EMG-IMU sensors
inferred← citeshttps://doi.org/10.1109/access.2021.3084442openalex-snapshot
A Novel Signal Normalization Approach to Improve the Force Invariant Myoelectric Pattern Recognition of Transradial Amputees
inferred← citeshttps://doi.org/10.1109/access.2023.3255402openalex-snapshot
A Novel and Lightweight Real-Time Continuous Motion Gesture Recognition Algorithm for Smartphones
inferred← citeshttps://doi.org/10.1109/access.2024.3371251openalex-snapshot
Deployment of Machine Learning Algorithms on Resource-Constrained Hardware Platforms for Prosthetics
inferred← citeshttps://doi.org/10.1109/access.2024.3448410openalex-snapshot
sEMG-Based Gesture Classifier Through DTW and Enhanced Muscle Activity Detection
inferred← citeshttps://doi.org/10.1109/access.2026.3728137openalex-snapshot
Quality-Aware Quantification of Finger Independence Using a Low-Cost Multi-IMU Glove: A 34-Participant Adult Mode-A Study
inferred← citeshttps://doi.org/10.1109/aibthings66987.2025.11296229openalex-snapshot
Dataset-Aware Evaluation of CNN and LSTM Networks for Real-Time sEMG Gesture Recognition
inferred← citeshttps://doi.org/10.1109/asyu50717.2020.9259859openalex-snapshot
Recognition of Turkish Sign Language (TID) Using sEMG Sensor
inferred← citeshttps://doi.org/10.1109/biorob66782.2026.11681864openalex-snapshot
A Method for Muscle Selection in EMG-Driven Control of Upper-Limb Rehabilitation Devices: A Feasibility Study on Traumatic Brachial Plexus Injury
inferred← citeshttps://doi.org/10.1109/bsn58485.2023.10331308openalex-snapshot
Stylohyoid and posterior digastric timing evaluation
inferred← citeshttps://doi.org/10.1109/cac67268.2025.11486658openalex-snapshot
Electrical Impedance Tomography for Non-invasive and Wearable Gesture Recognition via Machine Learning
inferred← citeshttps://doi.org/10.1109/cbms61543.2024.00030openalex-snapshot
Multiclass classifiers for hand-gesture recognition of electromyographic signals from WyoFlex Band
inferred← citeshttps://doi.org/10.1109/cvidl65390.2025.11085494openalex-snapshot
A Lightweight Spatial Channel Reconstruction Network for sEMG Gesture Recognition
inferred← citeshttps://doi.org/10.1109/dsp58604.2023.10167918openalex-snapshot
Muscle Classification Via Hybrid CNN-LSTM Architecture from Surface EMG Signals
inferred← citeshttps://doi.org/10.1109/eecr60807.2024.10607314openalex-snapshot
A BiLSTM and CTC Based Multi-Sensor Information Fusion Frame for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/embc48229.2022.9871664openalex-snapshot
A sEMG Proportional Control for the Gripper of Patient Side Manipulator in da Vinci Surgical System
inferred← citeshttps://doi.org/10.1109/embc53108.2024.10781656openalex-snapshot
BioPoint: Enhancing Human-Computer Interaction through Single-Site, Multi-Sensor Gesture Recognition
inferred← citeshttps://doi.org/10.1109/embc58623.2025.11252749openalex-snapshot
Improved Prediction of Activities of Daily Living from Wrist Electromyography Using Intermediate Gesture Classification
inferred← citeshttps://doi.org/10.1109/etcm58927.2023.10309078openalex-snapshot
Effects on Hand Gesture Recognition Accuracy after Severe Cranial Trauma
inferred← citeshttps://doi.org/10.1109/fg59268.2024.10581936openalex-snapshot
Boosting Gesture Recognition with an Automatic Gesture Annotation Framework
inferred← citeshttps://doi.org/10.1109/i2ct57861.2023.10126410openalex-snapshot
Different Categories of Feature Extraction and Machine Learning Classification Models Used for Hand Gesture Recognition Systems: A Review
inferred← citeshttps://doi.org/10.1109/icaccs51430.2021.9441906openalex-snapshot
Multi-stage Indian sign language classification with Sensor Modality Assessment
inferred← citeshttps://doi.org/10.1109/icacrs67045.2025.11324138openalex-snapshot
Dynamic ASL Gesture Recognition with Real-Time Customization for Alphabets and Actions
inferred← citeshttps://doi.org/10.1109/icatme50232.2021.9732774openalex-snapshot
Evolution of Unmanned Aerial Vehicles (UAVs) with Machine Learning
inferred← citeshttps://doi.org/10.1109/icc45855.2022.9838474openalex-snapshot
Wireless Body Sensor Networks for Sign Language Recognition with Real-time Data Analysis
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10308150openalex-snapshot
EMG Interface for SCI Patients
inferred← citeshttps://doi.org/10.1109/icce67443.2026.11449640openalex-snapshot
Stretching Effect Estimation Model Based on Surface Electromyography
inferred← citeshttps://doi.org/10.1109/icceai55464.2022.00141openalex-snapshot
Eye-tracking-based robotic arm control system
inferred← citeshttps://doi.org/10.1109/iccteie66144.2025.11341847openalex-snapshot
Machine Learning in Electromyography Finger Recognition: Current Trends and Future Opportunities
inferred← citeshttps://doi.org/10.1109/iceee69936.2026.11598081openalex-snapshot
Dimensionality Reduction and Sensor Fusion for Repetition-Aware sEMG Gesture Recognition
inferred← citeshttps://doi.org/10.1109/iceeie66203.2025.11252161openalex-snapshot
Scalable Hand Gesture Recognition from Surface Electromyography (sEMG) Signals Using a Hybrid Deep Learning Model Evaluated on Diverse Datasets
inferred← citeshttps://doi.org/10.1109/icepecc57281.2023.10209517openalex-snapshot
Number Recognition System-based Virtual Sketch with Hand Gestures Using Attentional Convolutional Network
inferred← citeshttps://doi.org/10.1109/icicn59530.2023.10392863openalex-snapshot
A TinyML-based system for prosthetic control
inferred← citeshttps://doi.org/10.1109/iconnic59854.2023.10467412openalex-snapshot
Prediction of Handgrip Strength Based on Convolutional Neural Network Using Electromyography Signals
inferred← citeshttps://doi.org/10.1109/icorr66766.2025.11063045openalex-snapshot
Low-Rank Adaptation for Transformers in Dynamic Hand Gesture Recognition Using High-Density Surface Electromyography
inferred← citeshttps://doi.org/10.1109/icsp62122.2024.10743684openalex-snapshot
An Approach to Intent Recognition and Classification Based on sEMG Signals Using Features Extracted and Evaluated by Data Index Values
inferred← citeshttps://doi.org/10.1109/igsc55832.2022.9969370openalex-snapshot
Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices
inferred← citeshttps://doi.org/10.1109/inc457730.2023.10263039openalex-snapshot
Performance Assessment of Machine Learning Algorithms and Ensemble Techniques for Hand Gesture Recognition using Electromyographic Signals
inferred← citeshttps://doi.org/10.1109/isci62787.2024.10668378openalex-snapshot
Classification of SEMG Signal Based Hand Movements by Using Support Vector Machine
inferred← citeshttps://doi.org/10.1109/isctis70043.2026.11572123openalex-snapshot
WiT-ASPNet: A Multi-scale Transformer Network for Robust sEMG Gesture Recognition
inferred← citeshttps://doi.org/10.1109/iv55156.2024.10588662openalex-snapshot
SynthoGestures: A Multi-Camera Framework for Generating Synthetic Dynamic Hand Gestures for Enhanced Vehicle Interaction
inferred← citeshttps://doi.org/10.1109/iwcmc61514.2024.10592402openalex-snapshot
A Transformer-Based Approach for Better Hand Gesture Recognition
inferred← citeshttps://doi.org/10.1109/jas.2021.1004243openalex-snapshot
A Visual-Based Gesture Prediction Framework Applied in Social Robots
inferred← citeshttps://doi.org/10.1109/jbhi.2020.3041861openalex-snapshot
Wrist Torque Estimation via Electromyographic Motor Unit Decomposition and Image Reconstruction
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3354909openalex-snapshot
A Robust and Real-Time Framework of Cross-Subject Myoelectric Control Model Calibration via Multi-Source Domain Adaptation
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3417236openalex-snapshot
A Real-Time Hand Gesture Recognition System for Low-Latency HMI via Transient HD-SEMG and In-Sensor Computing
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3522306openalex-snapshot
sEMG-Based Gesture Recognition via Multi-Feature Fusion Network
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3637058openalex-snapshot
UaBMA-OLPP: A Novel Manifold-Inspired Technique for sEMG-Based Hand Movement and Object Grasp Recognition
inferred← citeshttps://doi.org/10.1109/jiot.2025.3624694openalex-snapshot
A Lightweight Dynamic Gesture Recognition Network for Advanced Driver Assistance Systems
inferred← citeshttps://doi.org/10.1109/jproc.2025.3581995openalex-snapshot
EMG Acquisition and Processing for Hand Movement Decoding on Embedded Systems: State of the Art and Challenges
inferred← citeshttps://doi.org/10.1109/jsen.2022.3194678openalex-snapshot
Neuromorphic Edge Computing for Biomedical Applications: Gesture Classification Using EMG Signals
inferred← citeshttps://doi.org/10.1109/jsen.2022.3198882openalex-snapshot
sEMG Onset Detection via Bidirectional Recurrent Neural Networks With Applications to Sports Science
inferred← citeshttps://doi.org/10.1109/jsen.2022.3225723openalex-snapshot
Eco-Friendly High-Sensitive Piezoelectrets for Force Myography
inferred← citeshttps://doi.org/10.1109/jsen.2023.3345731openalex-snapshot
Attention-Enhanced Frequency-Split Convolution Block for sEMG Motion Classification: Experiments on Premier League and Ninapro Datasets
inferred← citeshttps://doi.org/10.1109/jsen.2024.3350237openalex-snapshot
sEMG-Based Deep Metric Learning With Regulated Centroid-Nested Triplet Loss: From Hand Gestures to Elite Soccer Drills in the English Premier League
inferred← citeshttps://doi.org/10.1109/jsen.2024.3354307openalex-snapshot
EMG-Based Human Motion Analysis: A Novel Approach Using Towel Electrodes and Transfer Learning
inferred← citeshttps://doi.org/10.1109/jsen.2024.3388466openalex-snapshot
Toward Utilization of Explainable Hand Motion Recognition in 3-D Capacitive Proximity Sensing
inferred← citeshttps://doi.org/10.1109/jsen.2024.3404566openalex-snapshot
A Novel Framework for Motion-Induced Artifact Cancellation in sEMG: Evaluation on English Premier League and Ninapro Datasets
inferred← citeshttps://doi.org/10.1109/jsen.2024.3481013openalex-snapshot
Design and Gesture Recognition of Wrist Joint Posture Sensor Based on Fiber Bragg Gratings
inferred← citeshttps://doi.org/10.1109/la-cci62337.2024.10814786openalex-snapshot
Comparison of Hand Gesture Recognition Models Combining Supervised Learning and Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/lsens.2023.3303068openalex-snapshot
Fully Flexible Smart Gloves and Deep Learning Motion Intention Prediction for Ultralow Latency VR Interactions
inferred← citeshttps://doi.org/10.1109/mdts58049.2023.10168147openalex-snapshot
A Subject-Independent Machine Learning Model to Recognize Hand Gestures from Surface Electromyography Signals
inferred← citeshttps://doi.org/10.1109/metroxraine58569.2023.10405656openalex-snapshot
Electromyography Gestures Sensing with Deeply Quantized Neural Networks
inferred← citeshttps://doi.org/10.1109/newcas52662.2022.9901391openalex-snapshot
Siamese Convolutional Neural Network and Few-Shot Learning for Embedded Gesture Recognition
inferred← citeshttps://doi.org/10.1109/rasse54974.2022.9989657openalex-snapshot
Graph Neural Networks for HD EMG-based Movement Intention Recognition: An Initial Investigation
inferred← citeshttps://doi.org/10.1109/sensors56945.2023.10325287openalex-snapshot
EMG-Based Human Motion Analysis: A Novel Approach Using Towel Electrodes and Transfer Learning
inferred← citeshttps://doi.org/10.1109/southeastcon48659.2022.9764015openalex-snapshot
Biosensors Based Controller for Small Unmanned Aerial Vehicle Navigation
inferred← citeshttps://doi.org/10.1109/tbme.2024.3479232openalex-snapshot
A Novel Instruction Gesture Set Determination Scheme for Robust Myoelectric Control Applications
inferred← citeshttps://doi.org/10.1109/tce.2026.3658531openalex-snapshot
Hardware-Based Spiking Neural Network for Real-Time Hand Gesture Recognition Using MYO Armband EMG Sensor
inferred← citeshttps://doi.org/10.1109/thms.2024.3404101openalex-snapshot
Utilizing Gramian Angular Fields and Convolution Neural Networks in Flex Sensors Glove for Human–Computer Interaction
inferred← citeshttps://doi.org/10.1109/tim.2024.3497179openalex-snapshot
Automated Grasp Recognition Using sEMG: Recent Advances, Challenges, and Future Developments
inferred← citeshttps://doi.org/10.1109/tmrb.2023.3336960openalex-snapshot
Stylohyoid and Posterior Digastric Potential Evaluation for a Swallowing Detection With Intramuscular EMG
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3105595openalex-snapshot
Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method
inferred← citeshttps://doi.org/10.1109/tnsre.2022.3141593openalex-snapshot
Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1109/tnsre.2023.3236982openalex-snapshot
Robust Long-Term Hand Grasp Recognition With Raw Electromyographic Signals Using Multidimensional Uncertainty-Aware Models
inferred← citeshttps://doi.org/10.1109/tnsre.2025.3635419openalex-snapshot
Deep Feature Learning From Electromyographic Signals for Gesture Recognition Systems
inferred← citeshttps://doi.org/10.1109/upcon56432.2022.9986358openalex-snapshot
Selection of Machine Learning Algorithm for Pattern Recognition Based Bionic Devices
inferred← citeshttps://doi.org/10.1109/yac59482.2023.10401439openalex-snapshot
Teleoperation Method For Controlling Robotic Arm Based On Multi-channel EMG Signals
inferred← citeshttps://doi.org/10.1111/mice.13520openalex-snapshot
A surface electromyography–based deep learning model for guiding semi‐autonomous drones in road infrastructure inspection
inferred← citeshttps://doi.org/10.1142/s0218001421510125openalex-snapshot
Hand Gesture Recognition Based on sEMG Signal and Convolutional Neural Network
inferred← citeshttps://doi.org/10.1142/s0219519425400421openalex-snapshot
INVESTIGATION OF AEROBIC EXERCISE TRAINING FOR COLLEGE STUDENTS BASED ON ATTENTION MECHANISM AND LSTM MOTION RECOGNITION MODEL
inferred← citeshttps://doi.org/10.1145/3490149.3501320openalex-snapshot
Sensing Hand Interactions with Everyday Objects by Profiling Wrist Topography
inferred← citeshttps://doi.org/10.1145/3581961.3609889openalex-snapshot
Advancing Dynamic Hand Gesture Recognition in Driving Scenarios with Synthetic Data
inferred← citeshttps://doi.org/10.1145/3586182.3616635openalex-snapshot
SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios
inferred← citeshttps://doi.org/10.1145/3588432.3591495openalex-snapshot
Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction
inferred← citeshttps://doi.org/10.1145/3700143openalex-snapshot
A Cooperative Game Theory-Based Feature Selection for Efficient Hand Grasp Classification Using Minimal Number of sEMG Signals
inferred← citeshttps://doi.org/10.1145/3725899.3725934openalex-snapshot
Pattern Grouping-Based Data Analysis Framework for Hand Gesture Recognition
inferred← citeshttps://doi.org/10.1145/3756884.3766042openalex-snapshot
Rethinking Gesture Recognition: Toward Fatigue-Aware sEMG Gesture Recognition for VR Interaction
inferred← citeshttps://doi.org/10.1145/3809986.3810126openalex-snapshot
Two-stage Electrode Shift Adaptive Correction Method for Electromyographic Hand Gesture Recognition
inferred← citeshttps://doi.org/10.1155/2021/3902030openalex-snapshot
Computer Vision for Human-Computer Interaction Using Noninvasive Technology
inferred← citeshttps://doi.org/10.1155/2022/4653923openalex-snapshot
Machine Learning for Healthcare Wearable Devices: The Big Picture
inferred← citeshttps://doi.org/10.1155/acis/3976871openalex-snapshot
Causal Sequence Modeling of Electromyography Signals Using Autoregressive Transformer With Patch‐Based Tokenization for Hand Gesture Recognition
inferred← citeshttps://doi.org/10.1177/00187208251359299openalex-snapshot
PATE Model: A 30-Year Review and Analysis of Gestural Interaction Research
inferred← citeshttps://doi.org/10.1177/02783649251414884openalex-snapshot
EMG-to-torque models for exoskeleton assistance: A framework for the evaluation of in situ calibration
inferred← citeshttps://doi.org/10.1177/09544119211053669openalex-snapshot
Inter-classifier comparison for upper extremity EMG signal at different hand postures and arm positions using pattern recognition
inferred← citeshttps://doi.org/10.1177/09544119231225528openalex-snapshot
Simple recognition of hand gestures using single-channel EMG signals
inferred← citeshttps://doi.org/10.1186/s12984-025-01680-2openalex-snapshot
Exploratory development of human–machine interaction strategies for post-stroke upper-limb rehabilitation
inferred← citeshttps://doi.org/10.1186/s12984-026-02039-xopenalex-snapshot
How few channels suffice? A hierarchical validation framework for minimal-channel wearable sEMG in upper-limb rehabilitation gesture recognition
inferred← citeshttps://doi.org/10.1186/s43067-025-00205-0openalex-snapshot
Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency
inferred← citeshttps://doi.org/10.12720/jait.16.4.447-457openalex-snapshot
Real-Time Hand Gesture Recognition: Lightweight Keypoint-Based Approach with Medoid Similarity
inferred← citeshttps://doi.org/10.1371/journal.pone.0321319openalex-snapshot
The effects of limb position and grasped load on hand gesture classification using electromyography, force myography, and their combination
inferred← citeshttps://doi.org/10.1557/s43578-023-01240-1openalex-snapshot
Ionic hydrogels-based electronic skins for electrophysiological monitoring
inferred← citeshttps://doi.org/10.1609/aaai.v36i6.20658openalex-snapshot
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces
inferred← citeshttps://doi.org/10.17760/d20653003openalex-snapshot
Reducing calibration effort for brain-computer interfaces
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9.10014openalex-snapshot
A Study on Electromyography Signal as a Controller
inferred← citeshttps://doi.org/10.18280/ts.380304openalex-snapshot
Gesture Recognition of Somatosensory Interactive Acupoint Massage Based on Image Feature Deep Learning Model
inferred← citeshttps://doi.org/10.18535/ijecs/v12i03.4723openalex-snapshot
Haptic body position improver during a workout
inferred← citeshttps://doi.org/10.2139/ssrn.5060132openalex-snapshot
A Multi-Modal Approach to Gesture Recognition: Exploring Semg Statistical and Eegchaotic Features
inferred← citeshttps://doi.org/10.21528/cbic2023-029openalex-snapshot
Hand Gesture Classification using sEMG Data:Combining Gesture Detection and Cross-Validation
inferred← citeshttps://doi.org/10.2174/1573405620666230530093026openalex-snapshot
Review for Optimal Human-gesture Design Methodology and Motion Representation of Medical Images using Segmentation from Depth Data and Gesture Recognition
inferred← citeshttps://doi.org/10.22399/ijcesen.1572openalex-snapshot
Implementation of a Novel Gesture Recognition Technique for Real-Time Exercise Motion Detection
inferred← citeshttps://doi.org/10.23919/ascc56756.2022.9828126openalex-snapshot
EMG Signals Based Gesture Recognition Accuracy Improvement by Machine Learning Classifiers/Algorithms
inferred← citeshttps://doi.org/10.23919/ccc63176.2024.10662527openalex-snapshot
Cross-user Gesture Recognition Based on Deep Domain Adaptation Networks
inferred← citeshttps://doi.org/10.23919/eusipco55093.2022.9909748openalex-snapshot
Classification of Hand Gestures using sEMG Signals and Hilbert-Huang Transform
inferred← citeshttps://doi.org/10.24012/dumf.1212691openalex-snapshot
El Sıkma Hareketinin İşlevsel Yakın Kızılaltı Spektroskopisi ve Elektromiyografi Sinyalleri Kullanılarak Sınıflandırılması
inferred← citeshttps://doi.org/10.2478/cait-2024-0031openalex-snapshot
Real-Time Hand Gesture Recognition: A Comprehensive Review of Techniques, Applications, and Challenges
inferred← citeshttps://doi.org/10.26599/bdma.2022.9020036openalex-snapshot
An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition
inferred← citeshttps://doi.org/10.33022/ijcs.v13i1.3735openalex-snapshot
An Integrated Gesture Framework of Smart Entry Based on Arduino and Random Forest Classifier
inferred← citeshttps://doi.org/10.33793/acperpro.04.01.53openalex-snapshot
Birbirine Benzer El Hareketlerinin EMG Sinyalleri Kullanılarak Sınıflandırılması
inferred← citeshttps://doi.org/10.3389/fnbot.2021.692562openalex-snapshot
Face-Computer Interface (FCI): Intent Recognition Based on Facial Electromyography (fEMG) and Online Human-Computer Interface With Audiovisual Feedback
inferred← citeshttps://doi.org/10.3389/fnhum.2022.911204openalex-snapshot
Gesture Recognition by Ensemble Extreme Learning Machine Based on Surface Electromyography Signals
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