Behavior Detection Based on Touched Objects with Dynamic Threshold Determination Model

Abstract

We are developing a context-aware application for use in homes, which detects high-level user behavior, such as “leaving the home” and “going to bed”, and provides services according to the behavior proactively. To detect user behavior, a behavioral pattern is created by extracting frequent characteristics from the user’s behavior logs acquired from sensors… (More)
DOI: 10.1007/978-3-540-75696-5_9

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