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.
VPM: Analyzing human daily habits through process discovery / Leotta, F.; Veneruso, S. V.. - 2973:(2021), pp. 156-160. (Intervento presentato al convegno 2021 Best Dissertation Award, Doctoral Consortium, and Demonstration and Resources Track at BPM, BPM-D 2021 tenutosi a ita).
VPM: Analyzing human daily habits through process discovery
Leotta F.
;Veneruso S. V.
2021
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
