Drewes, Heiko (2010): Eye Gaze Tracking for Human Computer Interaction. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik |
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Drewes_Heiko.pdf 3MB |
Abstract
With a growing number of computer devices around us, and the increasing time we spend for interacting with such devices, we are strongly interested in finding new interaction methods which ease the use of computers or increase interaction efficiency. Eye tracking seems to be a promising technology to achieve this goal. This thesis researches interaction methods based on eye-tracking technology. After a discussion of the limitations of the eyes regarding accuracy and speed, including a general discussion on Fitts’ law, the thesis follows three different approaches on how to utilize eye tracking for computer input. The first approach researches eye gaze as pointing device in combination with a touch sensor for multimodal input and presents a method using a touch sensitive mouse. The second approach examines people’s ability to perform gestures with the eyes for computer input and the separation of gaze gestures from natural eye movements. The third approach deals with the information inherent in the movement of the eyes and its application to assist the user. The thesis presents a usability tool for recording of interaction and gaze activity. It also describes algorithms for reading detection. All approaches present results based on user studies conducted with prototypes developed for the purpose.
Dokumententyp: | Dissertationen (Dissertation, LMU München) |
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Keywords: | Eye Tracking, Human Computer Interaction, gaze pointing, gaze gesture, reading detection, Fitts'law for eye movements |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik
500 Naturwissenschaften und Mathematik |
Fakultäten: | Fakultät für Mathematik, Informatik und Statistik |
Sprache der Hochschulschrift: | Englisch |
Datum der mündlichen Prüfung: | 18. März 2010 |
1. Berichterstatter:in: | Hußmann, Heinrich |
MD5 Prüfsumme der PDF-Datei: | c9bff0e107661afda60658c5c7ab413f |
Signatur der gedruckten Ausgabe: | 0001/UMC 18623 |
ID Code: | 11591 |
Eingestellt am: | 11. Jun. 2010 08:32 |
Letzte Änderungen: | 24. Oct. 2020 05:00 |