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

2013

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An experimental evaluation of reservoir computation for ambient assisted living

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

Ambient Assisted Living Localization; Network Protocols

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: SMART INNOVATION, SYSTEMS AND TECHNOLOGIES (PRINT), pp. 41-50

Publisher: Springer

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@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},
	booktitle = {SMART INNOVATION, SYSTEMS AND TECHNOLOGIES (PRINT), pp. 41-50},
	year = {2013}
}