Simple Human Walking Modelling

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.

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Experimental investigation of standard effective temperature (SET*) adapted for human walking in an indoor and transitional thermal environment

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.148421 ◽

2021 ◽

pp. 148421

Author(s):

Zhaosong Fang ◽

Yuchun Zhang ◽

Yanping Yang ◽

Xiaoqing Zhou ◽

Zhimin Zheng

Keyword(s):

Experimental Investigation ◽

Effective Temperature ◽

Thermal Environment ◽

Human Walking

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

Technology and Health Care ◽

10.3233/thc-202744 ◽

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.

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