DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2010 · 18 citations · 0 references
ComputingAutonomous SystemsComputer ScienceArtificial IntelligenceHuman-computer InteractionKnowledge RepresentationConstraint RepresentationConstraint SatisfactionConstraint-based SchedulingHuman-machine InterfacesTemporal Knowledge RepresentationTemporal LogicActivity RecognitionAllen's Interval AlgebraConstraint-based AssistanceHuman Activity RecognitionHuman-aware PlanningTemporal Constraint SatisfactionTemporal ConstraintsTemporal Knowledge Modeling
In this paper we address the problem of realizing a service-providing reasoning infrastructure for proactive 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 seamlessly combines two key capabilities for contextualized service provision, namely human activity recognition and planning for controlling pervasive actuation devices.