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Human activity recognition using smartphone sensors

  • Marcin D. Bugdol
  • , Andrzej W. Mitas
  • , Marcin Grzegorzek
  • , Robert Meyer
  • , Christoph Wilhelm
  • University of Siegen
  • Technical University of Berlin

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

5 Citations (Scopus)

Abstract

In the paper a human activity recognition system has been presented based on the data gathered with the smartphone sensors. The acceleration, magnetic field and sound have been registered and four different activities of daily living has been recognized i.e. riding a bike, driving in a car, walking and sitting. Two version of Support Vector Machine (SVM) classifier have been employed and the obtained results are promising.

Original languageEnglish
Title of host publicationInformation Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings
EditorsEwa Piętka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek
PublisherSpringer Verlag
Pages41-47
Number of pages7
ISBN (Print)9783319399034
DOIs
Publication statusPublished - 2016
Event5th International Conference on Information Technologies in Biomedicine, ITIB 2016 - Kamien Slaski, Poland
Duration: 20 Jun 201622 Jun 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume472
ISSN (Print)2194-5357

Conference

Conference5th International Conference on Information Technologies in Biomedicine, ITIB 2016
Country/TerritoryPoland
CityKamien Slaski
Period20/06/1622/06/16

Keywords

  • Human activity recognition
  • Smartphones
  • Support vector machine

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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