Human lower limb motion intention recognition for exoskeletons: A review
LL Li, GZ Cao, HJ Liang, YP Zhang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Human motion intention (HMI) has increasingly gained concerns in lower limb exoskeletons
(LLEs). HMI recognition (HMIR) is the precondition for realizing active compliance control in …
(LLEs). HMI recognition (HMIR) is the precondition for realizing active compliance control in …
A machine learning method with hybrid feature selection for improved credit card fraud detection
With the rapid developments in electronic commerce and digital payment technologies,
credit card transactions have increased significantly. Machine learning (ML) has been vital …
credit card transactions have increased significantly. Machine learning (ML) has been vital …
Expecting individuals' body reaction to Covid-19 based on statistical Naïve Bayes technique
Abstract Covid-19, what a strange, unpredictable mutated virus. It has baffled many
scientists, as no firm rule has yet been reached to predict the effect that the virus can inflict …
scientists, as no firm rule has yet been reached to predict the effect that the virus can inflict …
Bibliometric analysis of nature inspired optimization techniques
Nature-inspired optimization has gained immense popularity over the past six decades and
has been extensively used across various disciplines. This paper aims to statistically …
has been extensively used across various disciplines. This paper aims to statistically …
Analysis and evaluation of feature selection and feature extraction methods
RE Nogales, ME Benalcázar - International Journal of Computational …, 2023 - Springer
Hand gestures are widely used in human-to-human and human-to-machine communication.
Therefore, hand gesture recognition is a topic of great interest. Hand gesture recognition is …
Therefore, hand gesture recognition is a topic of great interest. Hand gesture recognition is …
Database of lower limb kinematics and electromyography during gait-related activities in able-bodied subjects
This data descriptor describes the Roessingh Research & Development-MyLeg database for
activity prediction (MyPredict), containing three data sets. These data sets contain data from …
activity prediction (MyPredict), containing three data sets. These data sets contain data from …
Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses
RJ Greene, C Hunt, S Kumar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Objective: Our study defines a novel electrode placement method called Functionally
Adaptive Myosite Selection (FAMS), as a tool for rapid and effective electrode placement …
Adaptive Myosite Selection (FAMS), as a tool for rapid and effective electrode placement …
Comparison of Air Quality Prediction using Random Forest and Gradient Boosting Tree
Air quality has become one of the most pressing environmental issues of the 21st century.
Rapid population growth, industrialization, and mobility have led to increased emissions of …
Rapid population growth, industrialization, and mobility have led to increased emissions of …
Utilizing Machine Learning Techniques in Predicting Job Viability of Information Technology Program Graduates
CJ Clemente - … on Machine Learning and Applications (ICMLA), 2023 - ieeexplore.ieee.org
Having a job immediately after graduation is the dream of every IT graduate. However, not
everyone can achieve this outcome. The study's primary goal is to develop predictive …
everyone can achieve this outcome. The study's primary goal is to develop predictive …
Up to one's knees in data: Data-driven intent recognition using electromyography for the lower limb
RV Schulte - 2022 - research.utwente.nl
Data-driven intent recognition using electromyography (EMG) has the potential to make
actuated prosthesis more intuitive. Although electromyography has its challenges, it also …
actuated prosthesis more intuitive. Although electromyography has its challenges, it also …