Publikation: Dissertationsschrift

Predicting human behavior in smart environments

Grunddaten
Link
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Predicting human behavior in smart environments
Untertitel	theory and application to gaze prediction
Erscheinungsjahr	2015
Verlag	Universität Rostock
Verlagsort	Rostock
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
Letzte Änderung	15.05.2019 19:39:17
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/54376
Links zu Katalogen

Abstract

Predicting human behavior is desirable in many application scenarios in smart environments. The existing models for eye movements do not take contextual factors into account. This addressed in this thesis using a systematic machine-learning approach, where user profiles for eye movements behaviors are learned from data. In addition, a theoretical innovation is presented, which goes beyond pure data analysis. The thesis proposed the modeling of eye movements as a Markov Decision Processes. It uses Inverse Reinforcement Learning paradigm to infer the user eye movements behaviors.

Autor

Mohammed, Redwan Abdo Abdullah

Externer Link

Beschreibung	Link
Link zur Online-Ressource (kostenfrei zugänglich ohne Registrierung)	http://rosdok.uni-rostock.de/resolve/urn/urn:nbn:de:gbv:28-diss2017-0029-6

Einrichtung

IEF/Bereich Informatik