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Online motion recognition using an accelerometer in a mobile device

Author
Fuentes, D.; Gonzalez-Abril, L.; Angulo, C.; Ortega, J.
Type of activity
Journal article
Journal
Expert systems with applications
Date of publication
2012
Volume
39
Number
3
First page
2461
Last page
2465
DOI
https://doi.org/10.1016/j.eswa.2011.08.098 Open in new window
Repository
http://hdl.handle.net/2117/13325 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0957417411012292#FCANote Open in new window
Abstract
This paper introduces a new method to implement a motion recognition process using a mobile phone fitted with an accelerometer. The data collected from the accelerometer are interpreted by means of a statistical study and machine learning algorithms in order to obtain a classification function. Then, that function is implemented in a mobile phone and online experiments are carried out. Experimental results show that this approach can be used to effectively recognize different human activities wi...
Group of research
GREC - Knowledge Engineering Research Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

  • Fuentes, Daniel  (author)
  • Gonzalez Abril, Luis  (author)
  • Angulo Bahón, Cecilio  (author)
  • Ortega Ramirez, Juan Antonio  (author)

Attachments