Indoor Data Set

This dataset represents a real-life benchmark in the area of Ambient Assisted Living applications, as described in the associated publication.

Input data contains temporal streams of radio signal strength (RSS) measured between the nodes of a WSN, comprising 5 sensors: 4 anchors deployed in the environment and 1 mote worn by the user.

The binary classification task consists in predicting the pattern of user movements in real-world office environments from time-series generated by a Wireless Sensor Network (WSN).


Alessio Micheli
Tel: +39 050 2212798


Dipartimento di Informatica
Largo B. Pontecorvo, 3
56127 Pisa, Italy