Multi-modal sensing techniques for interfacing hand prostheses: A review
This paper provides a comprehensive survey of current state of the bio-sensing technologies
focusing on hand motion capturing and its application to interfacing hand prostheses. These …
focusing on hand motion capturing and its application to interfacing hand prostheses. These …
A novel feature extraction method for machine learning based on surface electromyography from healthy brain
G Li, J Li, Z Ju, Y Sun, J Kong - Neural Computing and Applications, 2019 - Springer
Feature extraction is one of most important steps in the control of multifunctional prosthesis
based on surface electromyography (sEMG) pattern recognition. In this paper, a new sEMG …
based on surface electromyography (sEMG) pattern recognition. In this paper, a new sEMG …
A multichannel surface EMG system for hand motion recognition
Surface electromyography (sEMG)-based hand motion recognition has a variety of
promising applications. While a person performs different hand motions, commands can be …
promising applications. While a person performs different hand motions, commands can be …
GPR target detection using a neural network classifier designed by a multi-objective genetic algorithm
Abstract Ground Penetrating Radar (GPR) is an electromagnetic sensing technology
employed for localization of underground utilities, pipes, and other types of objects. The …
employed for localization of underground utilities, pipes, and other types of objects. The …
Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal
Electromyography (EMG) in a bio-driven system is used as a control signal, for driving a
hand prosthesis or other wearable assistive devices. Processing to get informative drive …
hand prosthesis or other wearable assistive devices. Processing to get informative drive …
Intent based recognition of walking and ramp activities for amputee using sEMG based lower limb prostheses
The use of surface electromyogram (sEMG) has grown in the field of gait analysis,
prostheses and exoskeleton. Surface electromyogram can directly reflect the human …
prostheses and exoskeleton. Surface electromyogram can directly reflect the human …
The recognition of multi-finger prehensile postures using LDA
N Wang, Y Chen, X Zhang - Biomedical Signal Processing and Control, 2013 - Elsevier
The prehensile hand gestures play an important role in daily living for seizing or holding
subjects stably. In order to realize the accurate recognition of eight prehensile hand gestures …
subjects stably. In order to realize the accurate recognition of eight prehensile hand gestures …
[PDF][PDF] Analysis of extracted forearm sEMG signal using LDA, QDA, K-NN classification algorithms
F AlOmari, G Liu - The Open Automation and Control Systems …, 2014 - benthamopen.com
A surface electromyographic (sEMG) signal includes important information on muscular
activity and was recently widely used as an input signal in a myoelectric control system. In …
activity and was recently widely used as an input signal in a myoelectric control system. In …
Proximal detection of guide wire perforation using feature extraction from bispectral audio signal analysis combined with machine learning
N Mahmoodian, A Schaufler, A Pashazadeh… - Computers in biology …, 2019 - Elsevier
Artery perforation during a vascular catheterization procedure is a potentially life threatening
event. It is of particular importance for the surgeons to be aware of hidden or non-obvious …
event. It is of particular importance for the surgeons to be aware of hidden or non-obvious …
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 …
based upper limb prosthetics. Variations in the user's forearm orientation and contraction …