A new framework for classification of multi-category hand grasps using EMG signals

Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition

(2020) Turker Tuncer et al.   Biomedical Signal Processing and Control

EMG-driven hand model based on the classification of individual finger movements

(2020) Maria V. Arteaga et al.   Biomedical Signal Processing and Control

Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques

(2020) Neta Rabin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of electromyographic hand gesture signals using machine learning techniques

(2020) Guangyu Jia et al.   NEUROCOMPUTING

A novel application of a surface ElectroMyoGraphy-based control strategy for a hand exoskeleton system: A single-case study

(2019) Nicola Secciani et al.   International Journal of Advanced Robotic Systems

EEG-based BCI system for decoding finger movements within the same hand

(2019) Rami Alazrai et al.   NEUROSCIENCE LETTERS

Prosthetic hand control: A multidisciplinary review to identify strengths, shortcomings, and the future

(2019) Dinesh K. Kumar et al.   Biomedical Signal Processing and Control

An empirical evaluation of a hands-free computer interaction for users with motor disabilities

(2019) Boštjan Šumak et al.   JOURNAL OF BIOMEDICAL INFORMATICS

A cepstrum analysis-based classification method for hand movement surface EMG signals

(2019) Erdem Yavuz et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements

(2019) Ana Matran-Fernandez et al.   Scientific Data

Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm

(2019) Shahab Abdulla et al.   EXPERT SYSTEMS WITH APPLICATIONS

An instance voting approach to feature selection

(2019) Lily Chamakura et al.   INFORMATION SCIENCES

Hand movement classification from measured scattering parameters using deep convolutional neural network

(2019) Sindhu Hak Gupta et al.   MEASUREMENT

A novel, co-located EMG-FMG-sensing wearable armband for hand gesture recognition

(2019) Shuo Jiang et al.   SENSORS AND ACTUATORS A-PHYSICAL

Classification of Upper limb phantom movements in transhumeral amputees using electromyographic and kinematic features

(2018) Guillaume Gaudet et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Exploring EEG Features in Cross-Subject Emotion Recognition

(2018) Xiang Li et al.   Frontiers in Neuroscience

Investigation of the effect of spectrogram images and different texture analysis methods on speech emotion recognition

(2018) Turgut Özseven   APPLIED ACOUSTICS

Automatic incident classification for large-scale traffic data by adaptive boosting SVM

(2018) Li-Li Wang et al.   INFORMATION SCIENCES

Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG

(2018) Sebastian Roldan-Vasco et al.   JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY

Segmentation and characterization of acoustic event spectrograms using singular value decomposition

(2018) Manjunath Mulimani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals

(2018) Anurag Nishad et al.   Future Generation Computer Systems-The International Journal of eScience

Single channel surface EMG control of advanced prosthetic hands: A simple, low cost and efficient approach

(2017) Mahmoud Tavakoli et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of Phantom Finger, Hand, Wrist, and Elbow Voluntary Gestures in Transhumeral Amputees With sEMG

(2017) Nathanael Jarrasse et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Ensemble feature selection: Homogeneous and heterogeneous approaches

(2017) B. Seijo-Pardo et al.   KNOWLEDGE-BASED SYSTEMS

Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees

(2017) Khairul Anam et al.   NEURAL NETWORKS

Decoding finger movement in humans using synergy of EEG cortical current signals

(2017) Natsue Yoshimura et al.   Scientific Reports

Real-time human action classification using a dynamic neural model

(2015) Zhibin Yu et al.   NEURAL NETWORKS

Assessing fractal dimension methods as feature extractors for EMG signal classification

(2014) André L.V. Coelho et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features

(2014) Rami N. Khushaba et al.   NEURAL NETWORKS

Human Hand Motion Analysis With Multisensory Information

(2013) Zhaojie Ju et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Combination of Similarity Rankings Using Data Fusion

(2013) Peter Willett   Journal of Chemical Information and Modeling

Dynamical Characteristics of Surface EMG Signals of Hand Grasps via Recurrence Plot

(2013) Gaoxiang Ouyang et al.   IEEE Journal of Biomedical and Health Informatics

Classification of EMG signals using combined features and soft computing techniques

(2012) Abdulhamit Subasi   APPLIED SOFT COMPUTING

Feature reduction and selection for EMG signal classification

(2012) Angkoon Phinyomark et al.   EXPERT SYSTEMS WITH APPLICATIONS