Data di Pubblicazione:
2012
Citazione:
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.
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.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Context-based systems; Interpretation uncertainty; Sensor data interpretation
Elenco autori:
Y. Sakurai, K. Takada, M. Anisetti, V. Bellandi, P. Ceravolo, E. Damiani, S. Tsuruta
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