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Author:Meriläinen, Arto
Title:Adapting a Gaze Tracking System to Mobile Environments
Katseenseurantaarjestelan sovittaminen mobiiliymarisoihin
Publication type:Master's thesis
Publication year:2012
Pages:[10] + 65      Language:   eng
Department/School:Lääketieteellisen tekniikan ja laskennallisen tieteen laitos
Main subject:Laskennallinen tekniikka   (S-114)
Supervisor:Sams, Mikko
Instructor:Jagadeesan, Sharman
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201210043227
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
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Location:P1 Ark Aalto  1186   | Archive
Keywords:mobile
gaze tracking
real time
machine vision
mobiili
katseenseuranta
reaaliaikainen
konenäkö
Abstract (eng): Gaze tracking has traditionally been performed in controlled laboratory environments.
The experiment setups have commonly been limited to study only computer-human interaction.
Recently, the need to perform experiments in natural environments has emerged in different areas of science.

This thesis overviews the structure of a mobile gaze tracking system, that was developed in the Ganzheit project.
The goal of the gaze tracking system is to offer an open alternative for commercial systems.
The developed gaze tracker utilizes model-based gaze tracking.
The approach is accurate and robust against movements of the head.

In order to utilize model-based gaze tracking, it is vital to identify the pupil and corneal reflections from an eye image.
The constructive part of the thesis focuses on developing a method for identifying the features from the eye image.

The developed method is tested with experimental data.
The results show that the method for finding the pupil is accurate and robust against differences in facial features and changing lighting conditions.
The goodness of recognizing the corneal reflections varies between test subjects.

The mobile gaze tracking system is experimented in an ordinary office room.
The results indicate that the developed method works adequately.
Abstract (fin): Katseenseurantajärjestelmiä on käytetty perinteisesti laboratorio-olosuhteissa.
Mahdolliset koeasetelmat ovat rajoittuneet koehenkilön ja tietokoneen välisen vuorovaikutuksen tutkimiseen.
Viime vuosien aikana koeasetelmia on alettu siirtää laboratorioista luonnollisiin työympäristöihin.

Tässä diplomityössä esitellään Ganzheit-projektissa kehitetyn katseenseurantajärjestelmän rakenne.
Kehitetty järjestelmä tarjoaa avoimen vaihtoehdon kaupallisille järjestelmille.
Katseenseurantajärjestelmä hyödyntää mallipohjaista katseenseurantaa, joka on tarkka ja sallii pään vapaan liikkumisen analyysilaitteistoon nähden.

Mallipohjaisen katseenseurannan toimimiseksi silmäkuvasta on löydettävä pupilli ja sarveiskalvosta heijastuva kuvio.
Työssä kehitetään menetelmä, jolla kuvasta tunnistetaan vaaditut piirteet.
Kehitettyä menetelmää testataan kuudella koehenkilöllä.
Tulokset viittaavat pupillin löytyvän silmäkuvasta tarkasti.
Testeissä havaitaan kasvojenpiirteiden erojen vaikuttavan merkittävästi sarveiskalvojen heijastusten löytymiseen.

Työssä havainnollistetaan kehitetyn menetelmän käyttöä katseenseurannassa.
Testit osoittavat menetelmän toimivan hyvin normaalissa toimistoympäristössä.
ED:2012-09-21
INSSI record number: 45285
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