A Personal Activity Recognition System Based on Smart Devices

Harold Murcia, Juanita Triana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With the continuous evolution of technology, mobile devices are becoming more and more important in people’s lives. In the same way, new needs related to the information provided by their users arise, making evident the need to develop systems that take advantage of their daily use. The recognition of personal activity based on the information provided by the last generation mobile devices can easily be considered as an useful tool for many purposes and future applications. This paper presents the use of information provided from two smart devices in different acquisition schemes, assessing conventional supervised classifiers to recognize personal activity by an identification of seven classes. The classifiers were trained with a generated database from eight users and were evaluated in offline mode with other two generated databases. The prediction experiments were qualified by using F1-score indicator and were compared with the native prediction from the cellphone. The obtained results presented a maximum F1-score of 100% for the first validation test and 80.7% for the second validation test.

Original languageEnglish
Title of host publicationApplied Computer Sciences in Engineering - 6th Workshop on Engineering Applications, WEA 2019, Proceedings
EditorsJuan Carlos Figueroa-García, Mario Duarte-González, Sebastián Jaramillo-Isaza, Alvaro David Orjuela-Cañon, Yesid Díaz-Gutierrez
PublisherSpringer Healthcare
Pages487-499
Number of pages13
ISBN (Print)9783030310189
DOIs
StatePublished - 1 Jan 2019
Event6th Workshop on Engineering Applications, WEA 2019 - Santa Marta, Colombia
Duration: 16 Oct 201918 Oct 2019

Publication series

NameCommunications in Computer and Information Science
Volume1052
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th Workshop on Engineering Applications, WEA 2019
CountryColombia
CitySanta Marta
Period16/10/1918/10/19

Keywords

  • Activity recognition
  • Cell phone data
  • Machine learning
  • Myo armband
  • Wearable devices

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  • Cite this

    Murcia, H., & Triana, J. (2019). A Personal Activity Recognition System Based on Smart Devices. In J. C. Figueroa-García, M. Duarte-González, S. Jaramillo-Isaza, A. D. Orjuela-Cañon, & Y. Díaz-Gutierrez (Eds.), Applied Computer Sciences in Engineering - 6th Workshop on Engineering Applications, WEA 2019, Proceedings (pp. 487-499). (Communications in Computer and Information Science; Vol. 1052). Springer Healthcare. https://doi.org/10.1007/978-3-030-31019-6_41