Predicting human behavior in smart environments
theory and application to gaze prediction
Mohammed, Redwan Abdo Abdullah
1979-
VerfasserIn
aut
Staadt, Oliver
1968-
GutachterIn
oth
Kirste, Thomas
1962-
GutachterIn
oth
Sprekeler, Henning
1976-
GutachterIn
oth
Schwabe, Lars
1974-
GutachterIn
oth
Universität Rostock
Grad verleihende Institution
dgg
Universität Rostock
Fakultät für Informatik und Elektrotechnik
Grad verleihende Institution
dgg
text
theses
Text
Hochschulschrift
gw
2015
monographic
XA-DE
Rostock
University
publisher
2015
eng
1 Online-Ressource
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.<eng>
submitted by M. Sc. Redwan Abdo Abdullah Mohammed from Rostock
Dissertation Universität Rostock 2016
004
ST 300
54.72
http://rosdok.uni-rostock.de/resolve/urn/urn:nbn:de:gbv:28-diss2017-0029-6
Predicting human behavior in smart environments
Rostock : University, 2015
Druck-Ausgabe
(DE-627)88079559X
Mohammed, Redwan Abdo Abdullah, 1979 -
urn:nbn:de:gbv:28-diss2017-0029-6
974781320
rda
DE-627
170308
881598240
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