Thank you for downloading the dataset Indoor User Movement Prediction from RSS data.


The content of this folder is the following:

- directory "dataset" contains the input and ground-truth (target) data (csv format)
- directory "groups" contains the information pertaining to the data grouping based on the environment and on the path type
 (csv format)
- figure "MovementAAL.jpg" contains a sketch of the common setup considered for the measurement campaign in real-life office environments

- file "dataset_description.txt" contains a brief description of the dataset





Citation Request:
Use of this dataset in publications must be acknowledged by referencing the following publication:


D. Bacciu, P. Barsocchi, S. Chessa, C. Gallicchio, and A. Micheli, 
"An experimental characterization of reservoir computing in ambient assisted living applications", 
Neural Computing and Applications, Springer-Verlag, vol. 24 (6), 
pp. 1451-1464, doi:10.1007/s00521-013-1364-4, ISSN 0941-0643, 2014.



For info about this dataset contact:

Claudio Gallicchio: gallicch@di.unipi.it

Paolo Barsocchi: paolo.barsocchi@isti.cnr.it
