scholarly journals Human Gait Feature Extraction based-on Silhouette and Center of Mass

2019 ◽  
Vol 10 (9) ◽  
Author(s):  
Miftahul Jannah ◽  
Sarifuddin Madenda ◽  
Tubagus Maulana ◽  
Hustinawaty
Keyword(s):  
Feature Extraction ◽  
Center Of Mass ◽  
Human Gait ◽  
Gait Feature

scholarly journals Human Gait Feature Extraction Including a Kinematic Analysis toward Robotic Power Assistance

10.5772/50723 ◽  
2012 ◽  
Vol 9 (3) ◽  
pp. 68 ◽  
Author(s):  
Mario I. Chacon-Murguia ◽  
Rafael Sandoval-Rodriguez ◽  
Omar Arias-Enriquez
Keyword(s):  
Feature Extraction ◽  
Kinematic Analysis ◽  
Human Gait ◽  
Gait Feature ◽  
Power Assistance

Modeling a Predictive Control of Human Locomotion Based on the Dynamic Behavior

2018 ◽  
pp. 316-331
Author(s):  
Joao Mauricio Rosario ◽  
Leonimer Flavio de Melo ◽  
Didier Dumur ◽  
Maria Makarov ◽  
Jessica Fernanda Pereira Zamaia ◽  
...  
Keyword(s):  
Dynamic Behavior ◽  
Predictive Control ◽  
Lower Limb ◽  
Center Of Mass ◽  
Human Locomotion ◽  
Lower Limbs ◽  
Human Gait ◽  
Virtual Model ◽  
Dynamical Study ◽  
Continuous Dynamic

This chapter presents the development of a lower limb orthosis based on the continuous dynamic behavior and on the events presented on the human locomotion, when the legs alternate between different functions. A computational model was developed to approach the different functioning models related to the bipedal anthropomorphic gait. Lagrange modeling was used for events modeling the non-holonomic dynamics of the system. This chapter combines the comparison of the use of the predictive control based on dynamical study and the decoupling of the dynamical model, with auxiliary parallelograms, for locating the center of mass of the mechanism using springs in order to achieve the balancing of each leg. Virtual model was implemented and its kinematic and dynamic motion analyzed through simulation of an exoskeleton, aimed at lower limbs, for training and rehabilitation of the human gait, in which the dynamic model of anthropomorphic mechanism and predictive control architecture with robust control is already developed.

Modeling a Predictive Control of Human Locomotion Based on the Dynamic Behavior

2021 ◽  
pp. 217-232
Author(s):  
Joao Mauricio Rosario ◽  
Leonimer Flavio de Melo ◽  
Didier Dumur ◽  
Maria Makarov ◽  
Jessica Fernanda Pereira Zamaia ◽  
...  
Keyword(s):  
Dynamic Behavior ◽  
Predictive Control ◽  
Lower Limb ◽  
Center Of Mass ◽  
Human Locomotion ◽  
Lower Limbs ◽  
Human Gait ◽  
Virtual Model ◽  
Dynamical Study ◽  
Continuous Dynamic

This chapter presents the development of a lower limb orthosis based on the continuous dynamic behavior and on the events presented on the human locomotion, when the legs alternate between different functions. A computational model was developed to approach the different functioning models related to the bipedal anthropomorphic gait. Lagrange modeling was used for events modeling the non-holonomic dynamics of the system. This chapter combines the comparison of the use of the predictive control based on dynamical study and the decoupling of the dynamical model, with auxiliary parallelograms, for locating the center of mass of the mechanism using springs in order to achieve the balancing of each leg. Virtual model was implemented and its kinematic and dynamic motion analyzed through simulation of an exoskeleton, aimed at lower limbs, for training and rehabilitation of the human gait, in which the dynamic model of anthropomorphic mechanism and predictive control architecture with robust control is already developed.

A Gait Feature Extraction Algorithm Based on Fusion of Spatial and Frequency Feature

2013 ◽  
Vol 291-294 ◽  
pp. 2492-2495
Author(s):  
Xiao Ke Zhu ◽  
Xiao Pan Chen ◽  
Fan Zhang
Keyword(s):  
Feature Extraction ◽  
Moving Objects ◽  
Gait Recognition ◽  
Morphological Processing ◽  
Moving Object ◽  
Classification Rate ◽  
Feature Extraction Algorithm ◽  
Extraction Algorithm ◽  
Gait Feature ◽  
Frequency Feature

In order to enhance the accuracy of gait recognition, a new gait feature extraction algorithm is proposed. Firstly, the gait images are preprocessed to extract moving objects, including background modeling, moving object extracting and morphological processing. Secondly, an equidistant slicing curve model based on system of polar coordinate is designed to slice the moving object, and the slicing vector is used to describe the spatial feature; Thirdly, the slicing vector is converted into frequency signal by Fourier transform to extract the frequency feature. Finally, the above two features are fused and used for the classification. The experimental results show that proposed algorithm provides higher correct classification rate than the algorithms using single feature, and meets the requirements of the real-time.

Towards Robustly Stable Musculo-Skeletal Simulation of Human Gait: Merging Lumped and Component-Based Modeling Approaches

2012 ◽  
Author(s):  
Justin Seipel
Keyword(s):  
Inverted Pendulum ◽  
Dynamic Models ◽  
Sagittal Plane ◽  
Center Of Mass ◽  
Human Model ◽  
Whole Body ◽  
Human Gait ◽  
Slip Model ◽  
Spring Loaded Inverted Pendulum ◽  
Low Dimensional

The objective of work presented in this paper is to increase the center-of-mass stability of human walking and running in musculo-skeletal simulation. The approach taken is to approximate the whole-body dynamics of the low-dimensional Spring-Loaded Inverted Pendulum (SLIP) model of locomotion in the OpenSim environment using existing OpenSim tools. To more directly relate low-dimensional dynamic models to human simulation, an existing OpenSim human model is first modified to more closely represent bilateral above-knee amputee locomotion with passive prostheses. To increase stability further beyond the energy-conserving SLIP model, an OpenSim model based upon the Clock-Torqued Spring-Loaded-Inverted-Pendulum (CT-SLIP) model of locomotion is also created. The result of this work is that a multi-body musculo-skeletal simulation in Open-Sim can approximate the whole-body sagittal-plane dynamics of the passive SLIP model. By adding a plugin controller to the OpenSim environment, the Clock-Torqued-SLIP dynamics can be approximated in OpenSim. To change between walking and running, only one parameter representing the preferred period of a stride is changed. The result is a robustly stable simulation of the center-of-mass locomotion for both walking and running that could serve as a first step toward increasingly anatomically accurate and robustly stable musculo-skeletal simulations.

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