Leveraging ANN and LDA classifiers for characterizing different hand movements using emg signals

B Saeed, M Zia-ur-Rehman, SO Gilani, F Amin… - Arabian Journal for …, 2021 - Springer
The analysis of electromyographic (EMG) signals has expedited the use of a wearable
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …

Multiday evaluation of techniques for EMG-based classification of hand motions

A Waris, IK Niazi, M Jamil, K Englehart… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Currently, most of the adopted myoelectric schemes for upper limb prostheses do not
provide users with intuitive control. Higher accuracies have been reported using different …

Effect of analysis window and feature selection on classification of hand movements using EMG signal

A Ullah, S Ali, I Khan, MA Khan, S Faizullah - Proceedings of SAI Intelligent …, 2020 - Springer
Electromyography (EMG) signals have been successfully employed for driving prosthetic
limbs of a single or double degree of freedom. This principle works by using the amplitude of …

A performance comparison of hand motion EMG classification

S Shin, R Tafreshi, R Langari - 2nd Middle East Conference on …, 2014 - ieeexplore.ieee.org
Powered prosthesis is of considerable value to amputees to enable them to perform their
daily-life activities with convenience. One of applicable control signals for controlling a …

Experimental study of real-time classification of 17 voluntary movements for multi-degree myoelectric prosthetic hand

T Jiralerspong, E Nakanishi, C Liu, J Ishikawa - Applied sciences, 2017 - mdpi.com
Featured Application This work is intended for the development of myoelectric prosthetic
hand systems. Furthermore, the outcome of this study may also benefit other …

A low-cost real-time research platform for EMG pattern recognition-based prosthetic hand

P Geethanjali, KK Ray - IEEE/ASME Transactions on …, 2014 - ieeexplore.ieee.org
The focus of this paper is the development of a low-cost research platform for a surface
electromyogram (EMG)-based prosthetic hand control to evaluate various pattern …

Comparative evaluation of EMG signal features for myoelectric controlled human arm prosthetics

D Karabulut, F Ortes, YZ Arslan, MA Adli - Biocybernetics and Biomedical …, 2017 - Elsevier
Myoelectric controlled human arm prosthetics have shown a promising performance with
regards to the supplementation of the basic manipulation requirements for amputated …

Forearm orientation and contraction force independent method for EMG-based myoelectric prosthetic hand

R Rajapriya, K Rajeswari, D Joshi… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
An accurate and robust pattern recognition system is crucial for advanced electromyography-
based upper limb prosthetics. Variations in the user's forearm orientation and contraction …

The effects of the number of channels and gyroscopic data on the classification performance in EMG data acquired by Myo armband

C Tepe, MC Demir - Journal of Computational Science, 2021 - Elsevier
Processing and classification of Electromyography (EMG) signals is a common practice in
prosthetic arm design for hand amputees. This study investigates how reliable classification …

Electromyography (EMG) based classification of finger movements using SVM

NM Esa, AM Zain, M Bahari - International Journal of Innovative …, 2018 - ijic.utm.my
Myoelectric control prostheses hand are currently popular developing clinical option that
offers amputee person to control their artificial hand by analyzing the contacting muscle …