Abstract
Representing people activities in smart environments is an important aspect of supporting people well-being. Improving activity representation enables exploiting the semantics of people’s actions. We propose a novel activity model that facilitates the representation based on the ContextAA micro context-aware programming approach. In this approach, applications contain a self-described semantics in an ontic knowledge, and autonomic components interpret the knowledge to augment the interaction and adaptation of pervasive smart environments. In this paper, we present our model which integrates the semantics of the activity as an essential part of the ontic knowledge. We also present the programming constructs designed to facilitate building micro context-aware applications, and the components implemented to reduce the activity semantics to a minimal self-described context capable of being deployed in our ContextAA micro smart environment platform.
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Ponce, V., Abdulrazak, B. (2017). Activity Model for Interactive Micro Context-Aware Well-Being Applications Based on ContextAA. In: Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Enhanced Quality of Life and Smart Living. ICOST 2017. Lecture Notes in Computer Science(), vol 10461. Springer, Cham. https://doi.org/10.1007/978-3-319-66188-9_9
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