|
|||||
|
|
Online motion recognition using an accelerometer in a mobile device |
|
| Authors: | D. FuentesL. Gonzalez-Abril C. AnguloJ.A. Ortega |
| Affiliation: | a Computer Languages and Systems Dept., University of Seville, 41012 Seville, Spain b Applied Economics I Dept., University of Seville, 41018 Seville, Spain c Technical Research Centre for Dependency Care and Autonomous Living - CETpD., Universitat Politécnica de Catalunya, 08034 Vilanova i la Geltru, Spain |
| 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 with a high-level accuracy. |
| Keywords: | Features extraction Pattern recognition SVM |
| 本文献已被 ScienceDirect 等数据库收录！ | |