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Towards a Middleware to Infer the Risk Level of an Activity in Context-Aware Environments Using the SRK Model

Authors:
Alfredo Del Fabro Neto
Rafael Boufleuer
Bruno Romero de Azevedo
Iara Augustin
João Carlos D. Lima
Cristiano C. Rocha

Keywords: Activity Recognition; Activity Risk Level; Context- Awareness; SRK Model.

Abstract:
It is inherent that every activity (human or non- human) has an associated risk level to the actors involved. This risk level may vary from no-damage risk to a very high risk level. Based on the regular actor’s behavior, the risk level of an activity can be changed to a higher or lower level (i.e., how apt the actor is related to an activity). This paper proposes a novel approach to analyze the risk level of activities considering the behavior of the actors using the Skill, Rule and Knowledge (SRK) cognitive architecture proposed by Rasmussen in 1983. Taking advantage of the Internet of Things paradigm we developed a context-aware middleware that analyzes the actors’ behavior based on the SRK model to infer the risk level associated with their activities.

Pages: 38 to 42

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-289-9

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013