Role of machine learning in gait analysis: a review
P Khera, N Kumar - Journal of Medical Engineering & Technology, 2020 - Taylor & Francis
Human biomechanics and gait form an integral part of life. The gait analysis involves a large
number of interdependent parameters that were difficult to interpret due to a vast amount of …
number of interdependent parameters that were difficult to interpret due to a vast amount of …
Automatic recognition of gait patterns in human motor disorders using machine learning: A review
Background automatic recognition of human movement is an effective strategy to assess
abnormal gait patterns. Machine learning approaches are mainly applied due to their ability …
abnormal gait patterns. Machine learning approaches are mainly applied due to their ability …
Line-to-line fault detection for photovoltaic arrays based on multiresolution signal decomposition and two-stage support vector machine
Fault detection in photovoltaic (PV) arrays becomes difficult as the number of PV panels
increases. Particularly, under low irradiance conditions with an active maximum power point …
increases. Particularly, under low irradiance conditions with an active maximum power point …
A machine learning framework for gait classification using inertial sensors: Application to elderly, post-stroke and huntington's disease patients
Machine learning methods have been widely used for gait assessment through the
estimation of spatio-temporal parameters. As a further step, the objective of this work is to …
estimation of spatio-temporal parameters. As a further step, the objective of this work is to …
Analysis of big data in gait biomechanics: Current trends and future directions
The increasing amount of data in biomechanics research has greatly increased the
importance of develo** advanced multivariate analysis and machine learning techniques …
importance of develo** advanced multivariate analysis and machine learning techniques …
DC arc-fault detection based on empirical mode decomposition of arc signatures and support vector machine
Protection devices are extensively utilized in direct current (DC) systems to ensure their
normal operation and safety. However, series arc faults that establish current paths in the air …
normal operation and safety. However, series arc faults that establish current paths in the air …
[HTML][HTML] First and second order statistics features for classification of magnetic resonance brain images
N Aggarwal, RK Agrawal - 2012 - scirp.org
In literature, features based on First and Second Order Statistics that characterizes textures
are used for classification of images. Features based on statistics of texture provide far less …
are used for classification of images. Features based on statistics of texture provide far less …
Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings
Obstructive sleep apnea syndrome (OSAS) is associated with cardiovascular morbidity as
well as excessive daytime sleepiness and poor quality of life. In this study, we apply a …
well as excessive daytime sleepiness and poor quality of life. In this study, we apply a …
DCapsNet: Deep capsule network for human activity and gait recognition with smartphone sensors
Recently, deep neural networks are used to recognize human activity/gait through mobile
sensors which have attracted a great attention. Although the existing deep neural networks …
sensors which have attracted a great attention. Although the existing deep neural networks …
The OU-ISIR gait database comprising the treadmill dataset
Y Makihara, H Mannami, A Tsuji… - IPSJ Transactions on …, 2012 - jstage.jst.go.jp
This paper describes a large-scale gait database comprising the Treadmill Dataset. The
dataset focuses on variations in walking conditions and includes 200 subjects with 25 views …
dataset focuses on variations in walking conditions and includes 200 subjects with 25 views …