Abstract
We propose a three-layered context-aware architecture for monitoring activities of daily life in smart home. This architecture provides for the inclusion of functionalities that range from low-level data collection to high-level context knowledge extraction. We have also devised an upper-level ontology to model the context in which the activities take place. This enables having a common activity-related context representation, on which to infer and share knowledge. Furthermore, we have begun to implement a platform that realizes our architecture and ontology, making use of Microsoft’s Lab of Things (LoT) platform, being the preliminary results on this task also described in the paper.
Highlights
Recent advances in sensing, networking, and ambient intelligence technologies have resulted in rapid emergence of smart environments
We propose and describe a three-layered context-aware system infrastructure based on Microsoft’s Lab of Things (LoT) platform for monitoring ADLs in smart home
This infrastructure provides functionalities that range from sensors and devices connection for raw data acquisition to highlevel context knowledge extraction and inference in different layers
Summary
Recent advances in sensing, networking, and ambient intelligence technologies have resulted in rapid emergence of smart environments. If, based on SH, we are able to detect and interpret what this population does in their homes, we could think about enhancing their quality of life, prolonging independent living, and reducing caregivers’ necessary time and healthcare costs in general, without losing the safety that continuous and unobtrusive monitoring provides Research objectives in this area range from low-level data acquisition by sensors up to high-level data integration and inference of context knowledge. We propose a three-layered context-aware architecture for monitoring elderly ADLs in smart home (see Figure 1) This architecture allows for the inclusion of the necessary functions to represent in a meaningful manner the context in which those ADLs take place and includes the definition of an upper-level ontology to facilitate reasoning and sharing.
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