Artículo
Online motion recognition using an accelerometer in a mobile device
Autor/es | Fuentes, D.
González Abril, Luis Angulo, C. Ortega Ramírez, Juan Antonio |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2012-02 |
Fecha de depósito | 2023-02-21 |
Publicado en |
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Resumen | 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 astatistical study and ... 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 astatistical 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. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | TIN2009–14378-C02–01 |
Cita | Fuentes, D., González Abril, L., Angulo, C. y Ortega Ramírez, J.A. (2012). Online motion recognition using an accelerometer in a mobile device. Expert Systems with Applications, 39 (3), 2461-2465. https://doi.org/10.1016/j.eswa.2011.08.098. |
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