scholarly journals A Parametric Identification Method of Human Gait Differences and its Application in Rehabilitation

2019 ◽  
Vol 9 (21) ◽  
pp. 4581 ◽  
Author(s):  
Gao ◽  
Cui ◽  
Ji ◽  
Wang ◽  
Hu ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Parametric Identification ◽  
Human Motion ◽  
Human Gait ◽  
Shape Parameters ◽  
Gait Characteristics ◽  
Normal Ranges ◽  
Angle Data ◽  
Motion Characteristic ◽  
Parametric Description

In order to understand the regularity of human motion, characteristic description is widely used in gait analysis. For completely expressing gait information and providing more concise indicators, parametric description is also particularly significant as a means of analysis. Therefore, in this paper, the mathematical models of gait curves based on the generalized extension-Bézier curve were investigated, of which the shape parameters were used as individual gait characteristics to distinguish whether the gait is normal or not and to assist in judging rehabilitation. To evaluate the models, angle data from three joints (hip, knee, and ankle) were recorded with motion capture system when participants (10 healthy males and 6 male patients with ankle fracture) were walking at comfortable velocity along a walkway. Then, the shape parameters of each subject were obtained by applying the mathematical models, and the parameter range of the normal group was further summarized. Through comparison, it could be found that most shape parameters of patients exceed the normal ranges in varying degrees, and are concentrated on specific parameters. The results can not only help to judge the recovery stages of patients but also figure out the corresponding abnormal postures, so as to provide guidance for rehabilitation training.

The influence of surface slope on human gait characteristics: a study of urban pedestrians walking on an inclined surface

Ergonomics ◽  
1996 ◽  
Vol 39 (4) ◽  
pp. 677-692 ◽  
Author(s):  
JIE SUN ◽  
MEGAN WALTERS ◽  
NOEL SVENSSON ◽  
DAVID LLOYD
Keyword(s):  
Human Gait ◽  
Surface Slope ◽  
Gait Characteristics ◽  
Inclined Surface

scholarly journals Comparison Analysis of Gait Classification For Human Motion Identification Using Embedded Computer

2018 ◽  
Vol 8 (6) ◽  
pp. 5014
Author(s):  
Agung Nugroho Jati ◽  
Astri Novianty ◽  
Nanda Septiana ◽  
Leni Widia Nasution
Keyword(s):  
Support Vector Machine ◽  
Principal Component ◽  
Human Motion ◽  
Human Gait ◽  
Support Vector ◽  
Nearest Neighbour ◽  
Classification Methods ◽  
Comparison Analysis ◽  
Gait Classification ◽  
Embedded Computer

In this paper, it will be discussed about comparison between two kinds of classification methods in order to improve security system based of human gait. Gait is one of biometric methods which can be used to identify person. K-Nearest Neighbour has parallelly implemented with Support Vector Machine for classifying human gait in same basic system. Generally, system has been built using Histogram and Principal Component Analysis for gait detection and its feature extraction. Then, the result of the simulation showed that K-Nearest Neighbour is slower in processing and less accurate than Support Vector Machine in gait classification.

scholarly journals Sensory modulation of gait characteristics in human locomotion: a neuromusculoskeletal modeling study

2020 ◽  
Author(s):  
Andrea Di Russo ◽  
Dimitar Stanev ◽  
Stéphane Armand ◽  
Auke Ijspeert
Keyword(s):  
Central Pattern Generators ◽  
Step Length ◽  
Human Locomotion ◽  
The Other ◽  
Human Gait ◽  
Dimensional Parameter ◽  
Fast Walking ◽  
Gait Characteristics ◽  
Other Hand ◽  
Step Duration

AbstractThe central nervous system of humans and animals is able to modulate the activity in the spinal cord to achieve several locomotion behaviors. Previous neuromechanical models investigated the modulation of human gait changing selected parameters belonging to the CPGs (Central Pattern Generators) feedforward oscillatory structures or to the feedback reflex circuits. CPG-based models could replicate slow and fast walking by changing only the oscillation’s properties. On the other hand, reflex-based models could achieve different behaviors mainly through optimizations of a large dimensional parameter space, but could not identify effectively individual key reflex parameters responsible for the modulation of gait characteristics. This study, investigates which reflex parameters modulate the gait characteristics through neuromechanical simulations. A recently developed reflex-based model is used to perform optimizations with different target behaviors on speed, step length and step duration in order to analyse the correlation between reflex parameters and their influence on these gait characteristics. We identified 9 key parameters that influence the target speed ranging from slow to fast walking (0.48 and 1.71 m/s) as well as a large range of step lengths (0.43 and 0.88 m) and step duration (0.51, 0.98 s). The findings show that specific reflexes during stance have a major effect on step length regulation mainly given by the contribution of positive force feedback on the ankle plantarflexors’ group. On the other hand, stretch reflexes active during swing of iliopsoas and gluteus maximus regulate all the gait characteristics under analysis. Additionally, the results show that the stretch reflex of the hamstring’s group during landing phase is responsible for modulating the step length and step duration. Additional validation studies in simulations demonstrated that the identified reflexes are sufficient to modulate gait in human locomotion. Thus, this study provides an overview of the possible reflexes to control the gait characteristics.Author summary

scholarly journals ANALYSIS OF INPUT INFLUENCING FACTORS AND SELECTION OF THE TYPE OF A MATHEMATICAL MODEL AT THE STAGES OF THEIR STRUCTURAL AND PARAMETRIC IDENTIFICATION FOR STUDYING DEFORMATION STATE OF THE SAYANO-SHUSHENSKAYA HPP DAM IN 2013-2016

2020 ◽  
Vol 25 (3) ◽  
pp. 53-62
Author(s):  
Natalia N. Kobeleva ◽  
◽  
Valery S. Khoroshilov ◽  
Keyword(s):  
Mathematical Models ◽  
Influencing Factors ◽  
Hydroelectric Power Plant ◽  
Parametric Identification ◽  
Field Observations ◽  
Hydroelectric Power ◽  
Cold Temperatures ◽  
Deformation State ◽  
Forecast Models ◽  
Structural And Parametric Identification

Assessment of the operational state of a hydraulic structure and its technical safety should be carried out by comparing the obtained quantitative and qualitative diagnostic indicators with their criteria values. For this purpose, predictive mathematical models of the structure's behavior should be developed, which are recommended to be calibrated according to field observations. The article considers features of constructing predictive mathematical models for studying deformation process of displacements of the dam crest of the Sayano-Shushenskaya hydroelectric power plant. For various combinations of input influencing factors, including the results of field observations and calculated values of component displacements, the most successfully designed predictive mathematical models were studied, on the basis of which the dam body points were forecasted for stages of its operation in different times. The advantages of using the created forecast models for various temperature conditions of the structure (medium, warm and cold temperatures of year) are presented.

scholarly journals A Math Approach with Brief Cases towards Reducing Computational and Time Complexity in the Industrial Systems

2020 ◽  
Author(s):  
Yaroslav Matviychuk ◽  
Tomáš Peráček ◽  
Natalya Shakhovska
Keyword(s):  
Mathematical Models ◽  
Time Complexity ◽  
Order Reduction ◽  
Parametric Identification ◽  
Problem Area ◽  
Model Order ◽  
Industrial Systems ◽  
The Neural Network ◽  
Reduction Methods ◽  
The Given

The paper proposes a new principle of finding and removing elements of mathematical model, redundant in terms of parametric identification of the model. It allows reducing computational and time complexity of the applications built on the model. Especially this is important for AI based systems, systems based on IoT solutions, distributed systems etc. Besides, the complexity reduction allows increasing an accuracy of mathematical models implemented. Despite the model order reduction methods are well known, they are extremely depended however on the problem area. Thus, proposed reduction principles can be used in different areas, what is demonstrated in this paper. The proposed method for the reduction of mathematical models of dynamic systems allows also the assessment of the requirements for the parameters of the simulator elements to ensure the specified accuracy of dynamic similarity. Efficiency of the principle is shown on the ordinary differential equations and on the neural network model. The given examples demonstrate efficient normalizing properties of the reduction principle for the mathematical models in the form of neural networks.

Coupled Rigid-Deformable Body Formulation for Analysis of Joint Stress and Deformation During Gait

1999 ◽  
Author(s):  
Chad B. Hovey ◽  
Jean H. Heegaard
Keyword(s):  
Boundary Conditions ◽  
Rigid Body ◽  
Deformable Body ◽  
Human Motion ◽  
Rigid Body Dynamics ◽  
Joint Disease ◽  
Human Gait ◽  
Element Analysis ◽  
Joint Stress ◽  
Stress And Deformation

Abstract Analysis of human gait often uses rigid body dynamics to predict joint motions and forces [Andriacchi, et al., 1997]. While these approaches can help identify healthy and pathological human movement, the rigid body assumption does not allow determination of stress and deformation within the joint. This information is desirable not only to help understand the etiology of joint disease, but also for determining how joint replacements will perform once implanted. Finite element analysis, used to determine joint stress and deformation, employs boundary conditions which are intended to simulate physiological conditions [Maxian, et al, 1996]. Because these boundary conditions are defined a priori, it remains unclear as to how well these applied tractions and displacements match what is truly occurring during human motion.

Human Gait Indicators of Carrying a Concealed Firearm : A Skeletal Tracking and Data Mining Approach

2018 ◽  
pp. 368-383
Author(s):  
Henry Muchiri ◽  
Ismail Ateya ◽  
Gregory Wanyembi
Keyword(s):  
Data Mining ◽  
Human Gait ◽  
Depth Camera ◽  
Joint Position ◽  
Public Places ◽  
Gait Characteristics ◽  
Data Mining Approach ◽  
Security Personnel ◽  
Gait Parameters ◽  
The Right

There has been an increase in crimes involving illegal firearms in the last couple of years. Previous studies have found that most illegal firearms are carried in a concealed manner. The detection therefore of persons carrying concealed firearms is critical in maintaining security especially in public places. Literature indicates that disruption in gait is a major indicator used by security personnel to detect persons carrying concealed firearms especially those tucked on the hip. However, the specific gait parameters that are indicative have not yet been quantitatively determined. The purpose of this study therefore is to analyze the gait of persons carrying a concealed firearm tucked on the right hip and to quantitatively determine the gait characteristics associated with carrying the firearm. A simulation of persons walking while carrying a concealed firearm and when unarmed was recorded using Kinect V2 depth camera. The depth camera provided 3D spatial skeletal joint position features of tracked joints for the armed and unarmed scenario. Paired t-tests were conducted to compare these features. Further, the results of the t-tests were related to the anatomical planes of Motion. Results showed that persons carrying a firearm demonstrated disrupted gait characterized by right arm abduction, left arm adduction, right leg adduction and extension. These findings extend existing gait indicators which can be employed by security personnel to identify persons carrying concealed firearms.

Three-Dimensional Coordinate Data Processing in Human Motion Analysis

1979 ◽  
Vol 101 (4) ◽  
pp. 279-283 ◽  
Author(s):  
T. P. Andriacchi ◽  
S. J. Hampton ◽  
A. B. Schultz ◽  
J. O. Galante
Keyword(s):  
Data Processing ◽  
Gait Analysis ◽  
Three Dimensional ◽  
Human Motion ◽  
Human Gait ◽  
Human Motion Analysis ◽  
Coordinate Processing ◽  
Three Dimensional Coordinate ◽  
Human Gait Analysis ◽  
Coordinate Data

A method for three-dimensional coordinate processing of human motion is presented. The method is well suited for use with opto-electronic data acquisition equipment. A resolution of one part in 500 was achieved over a viewing field of 2.4 m. This resolution was found to be adequate for human gait analysis studies.

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