Computational intelligence in gait research: a perspective on current applications and future challenges
Our mobility is an important daily requirement so much so that any disruption to it severely
degrades our perceived quality of life. Studies in gait and human movement sciences …
degrades our perceived quality of life. Studies in gait and human movement sciences …
Fruit classification using computer vision and feedforward neural network
Fruit classification is a difficult challenge due to the numerous types of fruits. In order to
recognize fruits more accurately, we proposed a hybrid classification method based on …
recognize fruits more accurately, we proposed a hybrid classification method based on …
A multiple-task gait analysis approach: kinematic, kinetic and EMG reference data for healthy young and adult subjects
G Bovi, M Rabuffetti, P Mazzoleni, M Ferrarin - Gait & posture, 2011 - Elsevier
Standard clinical gait analysis protocols usually limit to test self-selected speed gait: this
approach is generally valid and permits time and cost saving. Yet, the literature evidences …
approach is generally valid and permits time and cost saving. Yet, the literature evidences …
[HTML][HTML] Classification of fruits using computer vision and a multiclass support vector machine
Y Zhang, L Wu - sensors, 2012 - mdpi.com
Automatic classification of fruits via computer vision is still a complicated task due to the
various properties of numerous types of fruits. We propose a novel classification method …
various properties of numerous types of fruits. We propose a novel classification method …
An MR brain images classifier via principal component analysis and kernel support vector machine
YD Zhang, L Wu - Progress In Electromagnetics Research, 2012 - jpier.org
Automated and accurate classification of MR brain images is extremely important for medical
analysis and interpretation. Over the last decade numerous methods have already been …
analysis and interpretation. Over the last decade numerous methods have already been …
A review of EMG techniques for detection of gait disorders
Electromyography (EMG) is a commonly used technique to record myoelectric signals, ie,
motor neuron signals that originate from the central nervous system (CNS) and …
motor neuron signals that originate from the central nervous system (CNS) and …
Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia
Gait classification has been widely used for children with cerebral palsy (CP) to assist with
clinical decision making and to evaluate different treatment outcomes. The aim of this study …
clinical decision making and to evaluate different treatment outcomes. The aim of this study …
A novel method for magnetic resonance brain image classification based on adaptive chaotic PSO
Automated and accurate classification of magnetic resonance (MR) brain images is an
integral component of the analysis and interpretation of neuroimaging. Many different and …
integral component of the analysis and interpretation of neuroimaging. Many different and …
A Rule‐Based Model for Bankruptcy Prediction Based on an Improved Genetic Ant Colony Algorithm
In this paper, we proposed a hybrid system to predict corporate bankruptcy. The whole
procedure consists of the following four stages: first, sequential forward selection was used …
procedure consists of the following four stages: first, sequential forward selection was used …
Designation of a characteristic of a physical capability by motion analysis, systems and methods
AJ Selner - US Patent 8,139,822, 2012 - Google Patents
Methods and Systems for developing and using evaluative test protocols are described by
way of example embodiments. By protocol, as used herein, generally mean (a) a …
way of example embodiments. By protocol, as used herein, generally mean (a) a …