Master Thesis MSTR-2015-19

BibliographyMárquez, María Guinea: First Sight Visual Interest Detection on BCI captured Signals during Museum Visit.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 19 (2015).
93 pages, english.

Recently developed Brain Computer Interfaces (BCI) allow users to control devices using only brain commands. At the beginning, this interaction paradigm was expensive and hard to implement. Thanks to the technological progress, affordable and portable approaches are now available in the market. In this work, we propose to use BCI technology to create a personalized museum guide, aware of user’s preferences and interests in real time, using a low cost Electroencephalograph (EEG) equipment. The aim of this Master Thesis is to clarify whether or not it is possible to recognize visitor’s interest using a commercial EEG device such as Emotiv EPOC. This would be performed by collecting EEG data from an experimental study under controlled, museum-related settings, to then analyse it and elaborate an indicator about visual interest at first sight.

Full text and
other links
PDF (25695795 Bytes)
Access to students' publications restricted to the faculty due to current privacy regulations
Department(s)University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
Superviser(s)Schmidt, Prof. ALbrecht; Abdelrahman, Yomna; Hassib, Mariam; Funk, Markus
Entry dateJuly 30, 2018
   Publ. Computer Science