The automatic and unobtrusive identification of user’s activities is one of the challenging goals of context-aware computing. This paper discusses and experimentally evaluates instance-based algorithms to infer user’s activities on the basis of data acquired from body-worn accelerometer sensors. We show that instance-based algorithms can classify simple and specific activities with high accuracy. In addition, due to their low requirements, we show how they can be implemented on severely resource-constrained devices. Finally, we propose mechanisms to take advantage of the temporal dimension of the signal, and to identify novel activities at run time.

Detecting Activities from Body-Worn Accelerometers via Instance-based Algorithms / Bicocchi, Nicola; Mamei, Marco; Zambonelli, Franco. - In: PERVASIVE AND MOBILE COMPUTING. - ISSN 1574-1192. - STAMPA. - 6:(2010), pp. 482-495. [10.1016/j.pmcj.2010.03.004]

Detecting Activities from Body-Worn Accelerometers via Instance-based Algorithms

BICOCCHI, Nicola;MAMEI, Marco;ZAMBONELLI, Franco
2010

Abstract

The automatic and unobtrusive identification of user’s activities is one of the challenging goals of context-aware computing. This paper discusses and experimentally evaluates instance-based algorithms to infer user’s activities on the basis of data acquired from body-worn accelerometer sensors. We show that instance-based algorithms can classify simple and specific activities with high accuracy. In addition, due to their low requirements, we show how they can be implemented on severely resource-constrained devices. Finally, we propose mechanisms to take advantage of the temporal dimension of the signal, and to identify novel activities at run time.
2010
6
482
495
Detecting Activities from Body-Worn Accelerometers via Instance-based Algorithms / Bicocchi, Nicola; Mamei, Marco; Zambonelli, Franco. - In: PERVASIVE AND MOBILE COMPUTING. - ISSN 1574-1192. - STAMPA. - 6:(2010), pp. 482-495. [10.1016/j.pmcj.2010.03.004]
Bicocchi, Nicola; Mamei, Marco; Zambonelli, Franco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/643710
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