Context-aware activity recognition through a combination of ontological and statistical reasoning

Riboni and Bettini have proposed a techinique for human activity recognition using ontologies and ontological reasoning combined with statistical inferencing [1]. The technique does not relies on large amount of training data which is difficult to obtain in applications such as rehabilitation systems, chronic disease management or monitoring of the elderly.

[1] Riboni, Daniele, and Claudio Bettini. ‘Context-Aware Activity Recognition Through a Combination of Ontological and Statistical Reasoning’. In Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing, 39–53. UIC ’09. Berlin, Heidelberg: Springer-Verlag, 2009. doi:10.1007/978-3-642-02830-4_5.

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