Methods for engineering symbolic human behaviour models for activity recognition

Kristina Yordanova Yordanova

doi:10.18453/rosdok_id00001381

Kristina Yordanova Yordanova

Methods for engineering symbolic human behaviour models for activity recognition

Universität Rostock, 2014

https://doi.org/10.18453/rosdok_id00001381

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.

Dissertation Freier Zugang

Titel:

Methods for engineering symbolic human behaviour models for activity recognition

Beteiligte Personen:

Kristina Yordanova Yordanova[VerfasserIn]
	1056892773
Thomas Kirste , Prof. Dr.-Ing.[AkademischeR BetreuerIn]
	137244754
	Universität Rostock, Institut für Informatik
Adelinde Uhrmacher , Prof. Dr. rer. nat. habil.[AkademischeR BetreuerIn]
	136258794
	Universität Rostock, Institut für Informatik
Maritta Heisel , Prof. Dr. rer. nat.[AkademischeR BetreuerIn]
	105233167X
	Universität Duisburg-Essen, Informatik und Kognitionswissenschaft

Beteiligte Körperschaften:

Universität Rostock, Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution]
	10085032-7

Zusammenfassung:

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. [Englisch]

Dokumenttyp:

Dissertation

Einrichtung:

Fakultät für Informatik und Elektrotechnik

Sprache:

Englisch

Sachgruppe der DNB:

004 Informatik

Veröffentlichung /
Entstehung:

Rostock

Rostock: Universität Rostock

2014