Lower limb motion intention recognition based on sEMG fusion features

P Zhang, J Zhang, A Elsabbagh - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Surface Electromyography (sEMG) has been extensively used for gait analysis and robotic
control. Since the low accuracy of intention recognition limits the development of …

Evaluation of Hand Action classification performance using machine learning based on signals from two sEMG electrodes

HO Shaw, KM Devin, J Tang, L Jiang - Sensors, 2024 - mdpi.com
Classification-based myoelectric control has attracted significant interest in recent years,
leading to prosthetic hands with advanced functionality, such as multi-grip hands. Thus far …

A Deep Learning‐Based Classification Method for Different Frequency EEG Data

T Wen, Y Du, T Pan, C Huang… - … Mathematical Methods in …, 2021 - Wiley Online Library
In recent years, the research on electroencephalography (EEG) has focused on the feature
extraction of EEG signals. The development of convenient and simple EEG acquisition …

Automatic hip geometric feature extraction in DXA imaging using regional random forest

D Hussain, SM Han, TS Kim - Journal of X-ray Science and …, 2019 - journals.sagepub.com
BACKGROUND: Hip fracture is considered one of the salient disability factors across the
global population. People with hip fractures are prone to become permanently disabled or …

A Hand Gesture Recognition Strategy Based on Virtual-Dimension Increase of EMG

Y Wang, Y Tian, J Zhu, H She, Y Jiang… - Cyborg and Bionic …, 2024 - spj.science.org
The electromyography (EMG) signal is the biocurrent associated with muscle contraction
and can be used as the input signal to a myoelectric intelligent bionic hand to control …

Acceleration of brain cancer detection algorithms during surgery procedures using GPUs

E Torti, A Fontanella, G Florimbi, F Leporati… - Microprocessors and …, 2018 - Elsevier
Abstract The HypErspectraL Imaging Cancer Detection (HELICoiD) European project aims
at develo** a methodology for tumor tissue classification through hyperspectral imaging …

[PDF][PDF] The Application of Folk Art with Virtual Reality Technology in Visual Communication.

R Zhang, X Zhao - Intelligent Automation & Soft …, 2020 - pdfs.semanticscholar.org
1. Hunan Vocational College of Art Chang Sha 410100, PR China 2. School of Educational
Information Technology, Central China Normal University, Wuhan 430079, PR China 1 …

[PDF][PDF] CNN-PS: Electroencephalogram Classification of Brain States Using Hybrid Machine-Deep Learning Approach

OA Saltykova - Iraqi Journal For Computer Science and Mathematics, 2023 - iasj.net
Electroencephalography (EEG) has been used for quite some time as a diagnostic
technique in neurology. The goal of this publication is to serve as a resource for researchers …

Experimental design of lower-limb movement recognition based on support vector machine

W Ge, J Zhao, F Wang, C Xu, Z Yang… - 2022 41st Chinese …, 2022 - ieeexplore.ieee.org
As a rehabilitation aid, the lower extremity rehabilitation robot usually works together with
the patient during the rehabilitation training process, and achieves therapeutic effects by …

Continuous prediction of multi-joint angles based on Informer model using novel fused features

R Wan, Z Zhu, G Cui, S Chen - Measurement Science and …, 2024 - iopscience.iop.org
Continuous prediction of multi-joint angles based on surface electromyography (sEMG) has
the potential to enhance the human-machine interaction performance. However, achieving …