Dipartimento di Ingegneria informatica, automatica e gestionale

Models usually employed for Ambient Intelligence (AmI) in smart homes are usually obtained directly from sensor logs composed by timestamped sequences of sensor measurements. Such approaches, still effective at different tasks, have the drawback of producing representations difficult to read and validate. In this paper we propose a tool, called Visual Process Maps (VPM), intended to allow the analysis of human routines at the human action level thanks to log preprocessing and the application of process discovery.