Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Research on Biomedical Engineering

• Publication date

  2017-08-17

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1590/2446-4740.08516
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Обеспечение огнесохранности конструкций учебно-тренажерных комплексов для подготовки спасателей-пожарных

  2017cited by this paper
• Upper Limb Prosthesis

  2017cited by this paper
• A novel feature extraction for robust EMG pattern recognition

  2016cited by this paper
• Selection of suitable hand gestures for reliable myoelectric human computer interface

  2015cited by this paper
• Comparison of sEMG-Based Feature Extraction and Motion Classification Methods for Upper-Limb Movement

  2015cited by this paper
• The recognition of multi-finger prehensile postures using LDA

  2013cited by this paper
• Towards identification of finger flexions using single channel surface electromyography – able bodied and amputee subjects

  2013influential reference
• Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography

  2013cited by this paper
• Surface Electromyography Signal Processing and Classification Techniques

  2013cited by this paper
• Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

  2013cited by this paper
• EMG feature evaluation for improving myoelectric pattern recognition robustness

  2013cited by this paper
• Feature reduction and selection for EMG signal classification

  2012influential reference
• Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals

  2012influential reference
• Fractal analysis features for weak and single-channel upper-limb EMG signals

  2012cited by this paper
• Conditioning and Sampling Issues of EMG Signals in Motion Recognition of Multifunctional Myoelectric Prostheses

  2011influential reference
• Online Myoelectric Control of a Dexterous Hand Prosthesis by Transradial Amputees

  2011influential reference
• Myoelectric forearm prostheses: state of the art from a user-centered perspective.

  2011influential reference
• Evaluating Learning Algorithms: A Classification Perspective

  2011cited by this paper
• Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques

  2010cited by this paper
• Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors

  2010cited by this paper
• Principal Components Analysis Preprocessing for Improved Classification Accuracies in Pattern-Recognition-Based Myoelectric Control

  2009cited by this paper
• Use of sEMG in identification of low level muscle activities: Features based on ICA and fractal dimension

  2009cited by this paper
• Decoding of Individuated Finger Movements Using Surface Electromyography

  2009cited by this paper
• Conjugate-Prior-Penalized Learning of Gaussian Mixture Models for Multifunction Myoelectric Hand Control

  2009cited by this paper
• Adaptive Pattern Recognition of Myoelectric Signals: Exploration of Conceptual Framework and Practical Algorithms

  2009cited by this paper
• Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb

  2008cited by this paper
• Fractal theory based Non-linear analysis of sEMG

  2007cited by this paper
• Neural Networks for Online Classification of Hand and Finger Movements Using Surface EMG signals

  2006cited by this paper
• A GA-based feature selection and parameters optimizationfor support vector machines

  2006cited by this paper
• Electromyography: Physiology, Engineering and Non-Invasive Applications

  2005cited by this paper
• A robust, real-time control scheme for multifunction myoelectric control

  2003influential reference
• Control of multifunctional prosthetic hands by processing the electromyographic signal.

  2002influential reference
• Classification of finger activation for use in a robotic prosthesis arm

  2002cited by this paper
• A wavelet-based continuous classification scheme for multifunction myoelectric control

  2001cited by this paper
• A comparison of waveform fractal dimension algorithms

  2001influential reference
• Development of recommendations for SEMG sensors and sensor placement procedures.

  2000cited by this paper

• Enhancing sEMG recognition with dynamic asymmetric training in context-informed virtual-real fusion system

  2026cites this paper
• Sensing Technologies for Hand Gesture Recognition in Human–Robot Interaction: A Review

  2026cites this paper
• Helios 2.0: A Robust, Ultra-Low Power Gesture Recognition System Optimised for Event-Sensor based Wearables

  2025cites this paper
• Movements classification system for transhumeral amputees using myoelectric signals

  2024cites this paper
• Empirical Myoelectric Feature Extraction and Pattern Recognition in Hemiplegic Distal Movement Decoding

  2023influential citation
• Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males

  2022cites this paper
• Biomechanical Prosthesis with EMG Signal Acquisition for Patients with Transradial Amputation

  2022cites this paper
• Design of a Hand Orthosis for People with Deficiency of the Medial, Radial, and Ulnar Nerves

  2020cites this paper
• Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review

  2020cites this paper
• Comparison of Pre-Processing Filters on the Performance of sEMG based Pattern Recognition

  2019cites this paper
• Wearable Device for EMG and EOG acquisition

  2019cites this paper
• Towards a better adaptability of hand prostheses to improve its acceptance by amputees

  2018cites this paper
• Análise de características do sinal EMG para auxílio em processos de classificação de padrões

  2018cites this paper
• Control of a robotic knee exoskeleton for assistance and rehabilitation based on motion intention from sEMG

  2018cites this paper
• A novel pre-processing procedure for enhanced feature extraction and characterization of electromyogram signals

  2018cites this paper
• Admittance Control of a Robotic Knee OrthosisBased on Motion Intention Through sEMG ofTrunk Muscles

  2017cites this paper
• Classification of EMG Signals: Using DWT Features and ANN Classifier

  year unknowncites this paper