Literature DB >> 25571107

A real time study of the human equilibrium using an instrumented insole with 3 pressure sensors.

Hussein Abou Ghaida, Serge Mottet, Jean-Marc Goujon.   

Abstract

The present work deals with the study of the human equilibrium using an ambulatory e-health system. One of the point on which we focus is the fall risk, when losing equilibrium control. A specific postural learning model is presented, and an ambulatory instrumented insole is developed using 3 pressures sensors per foot, in order to determine the real-time displacement and the velocity of the centre of pressure (CoP). The increase of these parameters signals a loss of physiological sensation, usually of vision or of the inner ear. The results are compared to those obtained from classical more complex systems.

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Year:  2014        PMID: 25571107     DOI: 10.1109/EMBC.2014.6944739

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Empirical Study on Human Movement Classification Using Insole Footwear Sensor System and Machine Learning.

Authors:  Wolfe Anderson; Zachary Choffin; Nathan Jeong; Michael Callihan; Seongcheol Jeong; Edward Sazonov
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

2.  Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition.

Authors:  Magdalena Smoleń
Journal:  J Healthc Eng       Date:  2019-07-07       Impact factor: 2.682

3.  Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment.

Authors:  Federica Amitrano; Armando Coccia; Carlo Ricciardi; Leandro Donisi; Giuseppe Cesarelli; Edda Maria Capodaglio; Giovanni D'Addio
Journal:  Sensors (Basel)       Date:  2020-11-23       Impact factor: 3.576

  3 in total

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