Federico Pecora, Marcello Cirillo, Francesca Dell'Osa, Jonas Ullberg, and Alessandro Saffiotti
A Constraint-Based Approach for Proactive, Context-Aware Human Support
Ambient Intelligence and Smart Environments
Abstract: In this article we address the problem of realizing a service-providing reasoning infrastructure for pro-active human assistance in intelligent environments. We propose SAM, an architecture which leverages temporal knowledge represented as relations in Allen's interval algebra and constraint-based temporal planning techniques. SAM provides two key capabilities for contextualized service provision: human activity recognition and planning for controlling pervasive actuation devices. While drawing inspiration from several state-of-the-art approaches, SAM provides a unique feature which has thus far not been ad- dressed in the literature, namely the seamless integration of these two key capabilities. It does so by leveraging a constraint-based reasoning paradigm whereby both requirements for recognition and for planning/execution are represented as constraints and reasoned upon continuously.
Keywords: Keywords: Context Awareness, Activity Recognition, Continuous Planning, Temporal Reasoning, Constraint Reasoning
Paper: [PDF (1.2MB)]
  AUTHOR = {Pecora, Federico and Cirillo, Marcello and Dell'Osa, Francesca and Ullberg, Jonas and Saffiotti, Alessandro},
  TITLE = {A Constraint-Based Approach for Proactive, Context-Aware Human Support},
  JOURNAL = {Ambient Intelligence and Smart Environments},
  YEAR = {2012},
  VOLUME = {4},
  ISSUE = {4},
  PAGES = {347--367},
  DOI = {10.3233/AIS-2012-0157} }