goto contents

Frank Krüger

Activity, context, and plan recognition with computational causal behavior models

Universität Rostock, 2018

Abstract: Objective of this thesis is to answer the question "how to achieve efficient sensor-based reconstruction of causal structures of human behaviour in order to provide assistance?". To answer this question, the concept of Computational Causal Behaviour Models (CCBMs) is introduced. CCBM allows the specification of human behaviour by means of preconditions and effects and employs Bayesian filtering techniques to reconstruct action sequences from noisy and ambiguous sensor data. Furthermore, a novel approximative inference algorithm – the Marginal Filter – is introduced.

doctoral thesis   free access    


OPACGVKDataCite Commons


all rights reserved

This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz).