Titlebook: Activity Recognition in Pervasive Intelligent Environments; Liming Chen,Chris D. Nugent,Jesse Hoey Book 20111st edition Atlantis Press 201

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Book 20111st edition topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machin

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1875-7669 erdisciplinary overview, ranging from pervaisve computing thThis book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematic

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Modulo-Netzwerk-Simplex-Verfahrennt. To address this challenging issue, we present a formal activity recognition framework based on possibility theory and description logics. We present initial results from an implementation of this recognition approach in a smart home laboratory.

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https://doi.org/10.1007/978-3-662-05948-7tasets. Our results can be used as a baseline for comparing the performance of other pattern recognition methods (both probabilistic and non-probabilistic). The datasets used in this chapter are made public, together with the source code of the probabilistic models used.

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