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Kristina Yordanova Yordanova

Methods for engineering symbolic human behaviour models for activity recognition

Universität Rostock, 2014

Abstract: This work investigates the ability of symbolic models to encode context information that is later used for generating probabilistic models for activity recognition. The contributions of the work are as follows: it shows that it is possible to successfully use symbolic models for activity recognition; it provides a modelling toolkit that contains patterns for reducing the model complexity; it proposes a structured development process for building and evaluating computational causal behaviour models.

doctoral thesis   free access    


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