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Toward Sensor-Based Context Aware Systems
School of Information Environment, Tokyo Denki University, 2-1200 Muzai Gakuendai Inzai, Chiba, 270-1382, Japan
Dipartimento di Tecnologie dell’Informazione, Universitàdegli Studi di Milano, Via Bramante 65, 26013 Crema (CR), Italy
* Author to whom correspondence should be addressed.
Received: 12 December 2011; in revised form: 31 December 2011 / Accepted: 3 January 2012 / Published: 9 January 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.
Keywords: context-based systems; sensor data interpretation; interpretation uncertainty
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Cite This Article
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.
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.
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.