Physical Activity Classification Using an Artificial Neural Networks Based on the Analysis of Anthropometric Measurements

Antonio J. Alvarez, Erika Severeyn, Sara Wong, Héctor Herrera, Jesús Velásquez, Alexandra La Cruz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Physical activity is one of the most important factors in leading a healthy life, which has increased the interest in the scientific community to evaluate methods and tools that can help people maintain an exercise routine, such as portable devices that can track the movements of the user and provide an appropriate feedback. Interest has also emerged in assessing the discrimination between physically active and inactive persons through the use of readily available data, which is the aim of this work. In this case, we used an auto-encoder to find the most outstanding characteristics of an anthropometric data set, in order to get the most representative attributes. Then use them to train an Artificial Neural Network (ANN), so that it could learn to identify between a physically active and a sedentary person. The ANN obtained 81% accuracy, 82% precision, 88% recall, 83% F1 score and 0.89 AUC. These results position the ANN as a viable model that could be used as a tool in scenarios such as customer profiling for different interested companies.

Original languageEnglish
Title of host publicationSystems and Information Sciences - Proceedings of ICCIS 2020
EditorsMiguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco
PublisherSpringer Science and Business Media Deutschland GmbH
Pages60-70
Number of pages11
ISBN (Print)9783030591939
DOIs
StatePublished - 2021
Event1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador
Duration: 27 Jul 202029 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1273 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Systems and Information Sciences, ICCIS 2020
Country/TerritoryEcuador
CityManta
Period27/07/2029/07/20

Keywords

  • Artificial Neural Network
  • Classification
  • Physical activity

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