This paper proposes a methodology for sensor data interpretation that can combine sensor outputs with contexts represented as sets of annotated business rules. Sensor readings are interpreted to generate events labeled with the appropriate type and level of uncertainty. Then, the appropriate context is selected. Reconciliation of different uncertainty types is achieved by a simple technique that moves uncertainty from events to business rules by generating combs of standard Boolean predicates. Finally, context rules are evaluated together with the events to take a decision. The feasibility of our idea is demonstrated via a case study where a context-reasoning engine has been connected to simulated heartbeat sensors using prerecorded experimental data. We use sensor outputs to identify the proper context of operation of a system and trigger decision-making based on context information.

Toward sensor-based context aware systems / Y. Sakurai, K. Takada, M. Anisetti, V. Bellandi, P. Ceravolo, E. Damiani, S. Tsuruta. - In: SENSORS. - ISSN 1424-8220. - 12:1(2012 Jan 10), pp. 632-649.

Toward sensor-based context aware systems

M. Anisetti;V. Bellandi;P. Ceravolo;E. Damiani
Penultimo
;
2012

Abstract

This paper proposes a methodology for sensor data interpretation that can combine sensor outputs with contexts represented as sets of annotated business rules. Sensor readings are interpreted to generate events labeled with the appropriate type and level of uncertainty. Then, the appropriate context is selected. Reconciliation of different uncertainty types is achieved by a simple technique that moves uncertainty from events to business rules by generating combs of standard Boolean predicates. Finally, context rules are evaluated together with the events to take a decision. The feasibility of our idea is demonstrated via a case study where a context-reasoning engine has been connected to simulated heartbeat sensors using prerecorded experimental data. We use sensor outputs to identify the proper context of operation of a system and trigger decision-making based on context information.
Context-based systems; Interpretation uncertainty; Sensor data interpretation
Settore INF/01 - Informatica
   Personalised learning and collaborative working environments fostering social creativity and innovation inside the organisations
   ARISTOTELE
   EUROPEAN COMMISSION
   FP7
   257886
10-gen-2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/205492
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