October 2015 No. 52

M2M-based Anticipatory Reasoning for Contexts

Introduction

     With the support of innovative technologies like Internet of Things (IoT), heterogeneous sensors are pervasively deployed in the smart environments, and Big Data are generated real-time in our daily life from all sorts of human activities, environment changes, and interactions between humans and environments. One of the most important smart environments generating such Big Data is smart homes, and the analytics of these Big Data can help to make smart homes human-centric by providing context-aware services. To be specific, for human-centric smart homes to provide context-aware services, one of the most important analytics for Big Data from smart homes is to understand human needs by recognizing contexts (e.g. user activities). 

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