PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Online motion recognition using an accelerometer in a mobile device
Daniel Fuentes, Luis Gonzalez-Abril, Cecilio Angulo and Juan Antonio Ortega
Expert Systems with Applications Volume 39, Number 3, pp. 2461-2465, 2012. ISSN 0957-4174


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 with a high-level accuracy.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
ID Code:8607
Deposited By:Cecilio Angulo
Deposited On:13 February 2012