Document - An experimental evaluation of reservoir computation for ambient assisted living

2013

Contribution to book Restricted

An experimental evaluation of reservoir computation for ambient assisted living

Bacciu D., Chessa S., Gallicchio C., Micheli A., Barsocchi P.

Network Protocols Ambient Assisted Living Localization

In this paper we investigate the introduction of Reservoir Computing (RC) neural network models in the context of AAL (Ambient Assisted Living) and self-learning robot ecologies, with a focus on the computational constraints related to the implementation over a network of sensors. Specifically, we experimentally study the relationship between architectural parameters influencing the computational cost of the models and the performance on a task of user movements prediction from sensors signal streams. The RC shows favorable scaling properties results for the analyzed AAL task.

Source: Neural Nets and Surroundings, edited by Bruno Apolloni, Simone Bassis, Anna Esposito, Francesco Carlo Morabito, pp. 41–50. Heidelberg: Springer, 2013

Publisher: Springer, Heidelberg, DEU

Metrics

Back to previous page

Cite as

BibTeX entry

@inbook{oai:it.cnr:prodotti:277344,
	title = {An experimental evaluation of reservoir computation for ambient assisted living},
	author = {Bacciu D. and Chessa S. and Gallicchio C. and Micheli A. and Barsocchi P.},
	publisher = {Springer, Heidelberg, DEU},
	doi = {10.1007/978-3-642-35467-0_5},
	booktitle = {Neural Nets and Surroundings, edited by Bruno Apolloni, Simone Bassis, Anna Esposito, Francesco Carlo Morabito, pp. 41–50. Heidelberg: Springer, 2013},
	year = {2013}
}