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With the growing number of the elderly, we see a greater demand for homecare, and the vision of pervasive computing is also floating into the domain ofthe household that aims to build a smart home which can assist inhabitants(users) to live more conveniently and harmoniously. Such health-care pervasiveapplications in smart home should focus on the inhabitant's goal or task indiverse situations, rather than the various complex devices and services. Thecore challenge for homecare design is to perceive the environment and assessoccurring situations, thus allowing systems to behave intelligently accordingto the user's intent. Due to the dynamic and heterogeneous nature of pervasivecomputing environment, it is difficult for an average user to obtain rightinformation and service and in right place at right time. This paper proposes acontext-driven task-oriented middleware (CDTOM) to meet the challenge. The mostimportant component is its task model that provides an adequate high-leveldescription of user-oriented tasks and their related contexts. Leveraging themodel multiple entities can easily exchange, share and reuse their knowledge.Based on the hierarchy of task ontology, a novel task recognition approachusing CBR (case-based reasoning) is presented and the performance of taskrecognition is evaluated by task number, context size and time costing.Moreover, a dynamic mechanism for mapping the recognized task and services isalso discussed. Finally, we present the design and implementation of our tasksupporting system (TSS) to aid an inhabitant's tasks in light of his lifestyleand environment conditions in pervasive homecare environment, and the resultsof the prototype system show that our middleware approach achieves goodefficiency of context management and good accuracy of user's activityinference, and can improve efficiently quality of user's life.

CDTOM: A Context-driven Task-oriented Middleware for Pervasive Homecare Environment