Semantic Knowledge Base in Support of Activity Recognition in Smart Home Environments
Keywords:Smart homes, Semantic knowledge base, Activity recognition, Knowledge representation, Ontology
Activity recognition plays a major role in smart home technologies in providing services to users. One of the approaches to identify activity is through the use of knowledge-driven reasoning. This paper presents a framework of semantic activity recognition, which is used to support smart home systems to identify usersâ€™ activities based on the existing context. The framework consists of two main components: a semantic knowledge base and an activity recognition module. The knowledge base is represented using ontology and it is used to provide a semantic understanding of the environment in order to classify usersâ€™ patterns of activities. Experimental results show that the proposed approach can support the classification process and accurately infer usersâ€™ activities with the accuracy of 90.9%.
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