Angular Moment and Corrective Forces in Human Walking Processes: Sensor and Actuator Analysis

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Title: Angular Moment and Corrective Forces in Human Walking Processes: Sensor and Actuator Analysis
Authors: Pérez Maciá, José Joaquín | Ferrandez-Pastor, Francisco-Javier | García-Chamizo, Juan Manuel
Research Group/s: Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Sensorization | Angular velocity | Fall | Acceleration | Moment of a force | Gyroscope | Inflection | Bending over
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 21-Nov-2019
Publisher: MDPI
Citation: Maciá JJP, Pastor FJF, Chamizo JMG. Angular Moment and Corrective Forces in Human Walking Processes: Sensor and Actuator Analysis. Proceedings. 2019; 31(1):59. doi:10.3390/proceedings2019031059
Abstract: Taking into account the dynamics of a human body in its daily movement, one can study the forces that are generated in its variations with respect to a normal walk. These forces can be reduced, generating an opposite force through some device if one takes into account that their magnitude is not very large in some cases. This paper outlines results obtained from the sensorization of a human body in uniform movement, and changes in angular velocity and moment of a force produced by different inflections in normal movement. The aim was to calculate the moment of a force thanks to the measured angular velocity, and then study the opposition to this movement by using the produced reaction by the conservation of angular moment (gyroscopic effect). The study was carried out through the positioning of different sensors that were placed to analyze points of interest of the movement. In this study, we were able to appreciate changes in the variables to study up to two orders of magnitude at the generated moment, when the movement went from being uniform, which is equivalent to a walk, to the situation of an inflection, for example, a fall or bending over. With the collected data, the prediction of a fall could be studied and perhaps avoided.
Sponsor: This research was funded by the Industrial Computers and Computer Networks program (Informatica Industrial y redes de Computadores I2RC) (2018/2019) funded by the University of Alicante, Wak9 Holding BV company under the eo-TICC project, and the Valencian Innovation Agency under the Scientific Innovation unit (UCIE Ars Innovatio) of the University of Alicante at
ISSN: 2504-3900
DOI: 10.3390/proceedings2019031059
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Peer Review: si
Publisher version:
Appears in Collections:Unidad Científica de Innovación Empresarial “Ars Innovatio” - Publicaciones
INV - I2RC - Artículos de Revistas

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