A Context-Aware System Infrastructure for Monitoring Activities of Daily Living in Smart Home

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. © 2016 qin ni et al.