An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living.

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

Ambient Assisted Living 

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.