10.18453/ROSDOK_ID00002015
Krüger, Frank
Frank
Krüger
http://d-nb.info/gnd/1079875972
Activity, context, and plan recognition with computational causal behavior models
Universität Rostock
2018
004 Data processing Computer sciences
2016
en
urn:nbn:de:gbv:28-diss2018-0009-0
http://purl.uni-rostock.de/rosdok/id00002015
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.