Methods for engineering symbolic human behaviour models for activity recognition
Yordanova, Kristina
1985-
aut
text
theses
Text
Hochschulschrift
gw
2014
monographic
XA-DE
2014
eng
text/html
application/pdf
Online-Ressource Ill., graph. Darst.
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.
submitted by Kristina Yordanova Yordanova
Rostock, Univ., Fak. für Informatik und Elektrotechnik, Diss., 2014
006.33
004 300
ST 300
54.72
http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0133-5
http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0133-5&pdf
http://nbn-resolving.de/urn:nbn:de:gbv:28-diss2014-0133-5
Methods for engineering symbolic human behaviour models for activity recognition
2014
Druck-Ausgabe
(DE-627)791008428
Yordanova, Kristina, 1985 -
urn:nbn:de:gbv:28-diss2014-0133-5
935594858
rakwb
DE-627
140909
796436037
20251224T192323.0
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