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Evaluation of Golden Gait Approximation Using Smart Clothing
Scataglini, Sofia; Abran, Guillaume
2020
 

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Keywords :
Golden ratio; Smart clothing; Wearable sensors
Abstract :
[en] Gait analysis was calculated in eighteen healthy male adults (mean age 26.33 ± 4.40 years, body mass 74.66 ± 5.62 kg) wearing a smart shirt based on body-worn accelerometer. This approximation relating the inverted pendulum model to a fractal approach of walking, where an approximation of using the golden ratio u is seen in our case nearby the golden ratio (u = 1.61). Our results demonstrated that the inverted pendulum model and walking speed are affected by anthropometric characteristics with p < 0.001. As a result, smart clothing based on body-worn accelerometer revealed to be an innovative and useful device to monitoring gait and in particular ideal gait approximation in a non-intrusive way and ecological approach in different environments.
Research center :
Centre of Physical Medicine and Rehabilitation CPMR
Disciplines :
Human health sciences: Multidisciplinary, general & others
Author, co-author :
Scataglini, Sofia
Abran, Guillaume  ;  Université de Liège - ULiège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
Language :
English
Title :
Evaluation of Golden Gait Approximation Using Smart Clothing
Publication date :
June 2020
Number of pages :
9
Event name :
Proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization
Event place :
United States
Event date :
16-20 juillet 2020
Audience :
International
Name of the research project :
HF_18.05 Monitoring and Modeling Physical Function and Performance in Military Rehabilitation
Available on ORBi :
since 27 June 2021

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