Automatic classification of functional gait disorders

D Slijepcevic, M Zeppelzauer… - IEEE journal of …, 2017 - ieeexplore.ieee.org
This paper proposes a comprehensive investigation of the automatic classification of
functional gait disorders (GDs) based solely on ground reaction force (GRF) measurements …

Improvement for energy efficiency and control characteristics in variable air volume system using in-situ sensor calibration method based on autoencoder

J Li, P Wang, J Li, X Han, T Zhao, S Yoon - Journal of Building Engineering, 2023 - Elsevier
The accuracy of sensor measurement has an important influence on energy efficiency and
control characteristics of air conditioning systems. However, the sensor will inevitably have …

An efficient gait abnormality detection method based on classification

D Jani, V Varadarajan, R Parmar, MH Bohara… - Journal of Sensor and …, 2022 - mdpi.com
In the study of human mobility, gait analysis is a well-recognized assessment methodology.
Despite its widespread use, doubts exist about its clinical utility, ie, its potential to influence …

Evolving system architecture to meet changing business goals: an agent and goal-oriented approach

D Gross, E Yu - Proceedings Fifth IEEE International …, 2001 - ieeexplore.ieee.org
Today's requirements engineering approaches focus on notation and techniques for
modeling the intended functionality and qualities of a software system. Little attention has …

RETRACTED ARTICLE: Fuzzy rank correlation-based segmentation method and deep neural network for bone cancer identification

T Altameem - Neural Computing and Applications, 2020 - Springer
Bone malignant tumors are one of the important health problems because tumors are
formed due to the affectedness of the healthiest bone tissues. This serious bone cancer has …

A study of the effect of RRAM reliability soft errors on the performance of RRAM-based neuromorphic systems

AMS Tosson, S Yu, MH Anis… - IEEE Transactions on Very …, 2017 - ieeexplore.ieee.org
Resistive RAM (RRAM) device has been extensively used as a scalable nonvolatile memory
cell in neuromorphic systems due to its several advantages, including its small size and low …

Analysis of RRAM reliability soft-errors on the performance of RRAM-based neuromorphic systems

AMS Tosson, S Yu, MH Anis… - 2017 IEEE Computer …, 2017 - ieeexplore.ieee.org
Due to the limitation in speed and throughput of the traditional Von Neumann architecture,
the interest in brain inspired neuromorphic systems has been the focus of recent research …

Walking and jogging at similar speeds with a passive SLIP model based compliant biped

S JANA, A GUPTA - Journal of Biomechanical Science and …, 2024 - jstage.jst.go.jp
This paper studies a 2D, spring-loaded inverted pendulum (SLIP) passive dynamic biped
with two degrees of freedom (stance leg only) to find the existence of symmetric periodic …

Predicting physiological developments from human gait using smartphone sensor data

U Ahmed, MF Ali, K Javed, HA Babri - arXiv preprint arXiv:1712.07958, 2017 - arxiv.org
Coronary artery disease, heart failure, angina pectoris and diabetes are among the leading
causes of morbidity and mortality over the globe. Susceptibility to such disorders is …

Human gait recognition based on frontal view using kinect features and orthogonal least square selection

R Sahak, NM Tahir, AI Yassin… - … Symposium on Signal …, 2017 - ieeexplore.ieee.org
This paper discussed the recognition of human gait for both frontal and oblique view based
on orthogonal least square (OLS) as feature selection and Multi-Layer perceptron (MLP) as …