A Biomechanical Analysis of Free Squat Exercise Employing Self-Organizing Maps

Cristian Felipe Blanco Diaz, Angie Katerine Quitian González, Sebastian Jaramillo Isaza, Alvaro D. Orjuela-Cañón

Research output: Chapter in Book/ReportConference contribution

1 Scopus citations

Abstract

With the current employment of visualization tools, different techniques may be used to understand multivariable information. This document presents an alternative method for the analysis of biomechanical phenomena, presenting the knee joint execution of free squat exercise. For this, the MaxTRAQ software and the open-source and cross-platform software Mokka were employed. A system of cameras allowed to digitize the movements. Then, with the use of Self-Organizing Maps tasks of visualization and clustering were developed for multivariate data. Results showed that this tool allows finding nonlinear relations between the analyzed input variables and outputs, when the data treatment demands an extra-work because of its dimensionality.

Original languageEnglish (US)
Title of host publication2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Proceedings
EditorsAlvaro David Orjuela-Canon
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116143
DOIs
StatePublished - Jun 2019
Event2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Barranquilla, Colombia
Duration: Jun 5 2019Jun 7 2019

Publication series

Name2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Proceedings

Conference

Conference2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019
Country/TerritoryColombia
CityBarranquilla
Period6/5/196/7/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems

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