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A public domain dataset for human activity recognition using smartphones

Author
Anguita, D.; Ghio, A.; Oneto, L.; Parra, X.; Reyes, J.
Type of activity
Presentation of work at congresses
Name of edition
21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Date of publication
2013
Presentation's date
2013-04
Book of congress proceedings
ESANN 2013 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: Bruges (Belgium), 24-26 April 2013
First page
437
Last page
442
Repository
http://hdl.handle.net/2117/20897 Open in new window
URL
http://www.i6doc.com/en/livre/?GCOI=28001100131010 Open in new window
Abstract
Human-centered computing is an emerging research field that aims to understand human behavior and integrate users and their social context with computer systems. One of the most recent, challenging and appealing applications in this framework consists in sensing human body motion using smartphones to gather context information about people actions. In this context, we describe in this work an Activity Recognition database, built from the recordings of 30 subjects doing Activities of Daily Living...
Citation
Anguita, D. [et al.]. A public domain dataset for human activity recognition using smartphones. A: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. "Proceedings of the 21th International European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning". Bruges: 2013, p. 437-442.
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies

Participants

  • Anguita, Davide  (author and speaker )
  • Ghio, Alessandro  (author and speaker )
  • Oneto, Luca  (author and speaker )
  • Llanas Parra, Francesc Xavier  (author and speaker )
  • Reyes Ortiz, Jorge Luis  (author and speaker )