Sensors 2012, 12(1), 632-649; doi:10.3390/s120100632
Article

Toward Sensor-Based Context Aware Systems

Received: 12 December 2011; in revised form: 31 December 2011 / Accepted: 3 January 2012 / Published: 9 January 2012
(This article belongs to the Special Issue Selected Papers from FGIT 2010)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Keywords: context-based systems; sensor data interpretation; interpretation uncertainty
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MDPI and ACS Style

Sakurai, Y.; Takada, K.; Anisetti, M.; Bellandi, V.; Ceravolo, P.; Damiani, E.; Tsuruta, S. Toward Sensor-Based Context Aware Systems. Sensors 2012, 12, 632-649.

AMA Style

Sakurai Y, Takada K, Anisetti M, Bellandi V, Ceravolo P, Damiani E, Tsuruta S. Toward Sensor-Based Context Aware Systems. Sensors. 2012; 12(1):632-649.

Chicago/Turabian Style

Sakurai, Yoshitaka; Takada, Kouhei; Anisetti, Marco; Bellandi, Valerio; Ceravolo, Paolo; Damiani, Ernesto; Tsuruta, Setsuo. 2012. "Toward Sensor-Based Context Aware Systems." Sensors 12, no. 1: 632-649.

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