Analysing Human Walking Using Dynamic Optimisation

2015 ◽  
pp. 1-34
Author(s):  
Meiyi Tan ◽  
Leslie S. Jennings ◽  
Song Wang
Keyword(s):  
Human Walking ◽  
Dynamic Optimisation

scholarly journals Identical Limb Dynamics for Unilateral Impairments through Biomechanical Equivalence

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 705
Author(s):  
Fatemeh Rasouli ◽  
Kyle B. Reed
Keyword(s):  
Mathematical Model ◽  
Numerical Solution ◽  
Dynamic Models ◽  
Assistive Devices ◽  
Assistive Device ◽  
Human Walking ◽  
Physical Parameters ◽  
Gait Rehabilitation ◽  
And Performance ◽  
Two Sides

Dynamic models, such as double pendulums, can generate similar dynamics as human limbs. They are versatile tools for simulating and analyzing the human walking cycle and performance under various conditions. They include multiple links, hinges, and masses that represent physical parameters of a limb or an assistive device. This study develops a mathematical model of dissimilar double pendulums that mimics human walking with unilateral gait impairment and establishes identical dynamics between asymmetric limbs. It introduces new coefficients that create biomechanical equivalence between two sides of an asymmetric gait. The numerical solution demonstrates that dissimilar double pendulums can have symmetric kinematic and kinetic outcomes. Parallel solutions with different physical parameters but similar biomechanical coefficients enable interchangeable designs that could be incorporated into gait rehabilitation treatments or alternative prosthetic and ambulatory assistive devices.

Information-based decoding of the coupling among human brain activity and movement paths

2021 ◽  
pp. 1-10
Author(s):  
Shahul Mujib Kamal ◽  
Norazryana Mat Dawi ◽  
Hamidreza Namazi
Keyword(s):  
Brain Activity ◽  
Point Of View ◽  
Physiological Signals ◽  
Human Walking ◽  
Eeg Signals ◽  
Rehabilitation Science ◽  
Information Contents ◽  
First Time ◽  
The Brain ◽  
Brain Reaction

BACKGROUND: Walking like many other actions of a human is controlled by the brain through the nervous system. In fact, if a problem occurs in our brain, we cannot walk correctly. Therefore, the analysis of the coupling of brain activity and walking is very important especially in rehabilitation science. The complexity of movement paths is one of the factors that affect human walking. For instance, if we walk on a path that is more complex, our brain activity increases to adjust our movements. OBJECTIVE: This study for the first time analyzed the coupling of walking paths and brain reaction from the information point of view. METHODS: We analyzed the Shannon entropy for electroencephalography (EEG) signals versus the walking paths in order to relate their information contents. RESULTS: According to the results, walking on a path that contains more information causes more information in EEG signals. A strong correlation (p= 0.9999) was observed between the information contents of EEG signals and walking paths. Our method of analysis can also be used to investigate the relation among other physiological signals of a human and walking paths, which has great benefits in rehabilitation science.

scholarly journals Capture and representation of human walking in live video sequences

1999 ◽  
Vol 1 (2) ◽  
pp. 144-156 ◽  
Author(s):  
Jia-Ching Cheng ◽  
J.M.F. Moura
Keyword(s):  
Video Sequences ◽  
Human Walking ◽  
Live Video

scholarly journals Dynamic arm swinging in human walking

2009 ◽  
Vol 276 (1673) ◽  
pp. 3679-3688 ◽  
Author(s):  
Steven H. Collins ◽  
Peter G. Adamczyk ◽  
Arthur D. Kuo
Keyword(s):  
Human Walking

Quantitative analysis of human walking trajectory on a circular path in darkness

1996 ◽  
Vol 40 (5-6) ◽  
pp. 491-495 ◽  
Author(s):  
Yasuhiko Takei ◽  
Renato Grasso ◽  
Alain Berthoz
Keyword(s):  
Quantitative Analysis ◽  
Human Walking ◽  
Circular Path
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