NDLI: Analysing the potential of adapting head-mounted eye tracker calibration to a new user

Content Provider	ACM Digital Library
Author	Bulling, Andreas Krüger, Antonio Fehringer, Benedict
Abstract	A key issue with state-of-the-art mobile eye trackers, particularly during long-term recordings in daily life, is the need for cumbersome and time consuming (re)calibration. To reduce this burden, in this paper we investigate the feasibility of adapting the calibration obtained for one user to another. Calibration adaptation is automatically performed using a light-weight linear translation. We compare three different methods to compute the translation: "multi-point", where all calibration-points are used, "1-point", and "0-point" that uses only an external parameter. We evaluate these methods in a 6-participant user study in a controlled laboratory setting by measuring the error in visual angle between the predicted gaze point and the true gaze point. Our results show that, averaged across all participants, the best adapted calibration is only 0.8° (mean) off the calibration obtained for that specific user. We also show the potential of the 1-point and 0-point methods compared to the time-consuming multi-point computation.
Starting Page	245
Ending Page	248
Page Count	4
File Format	PDF
ISBN	9781450312219
DOI	10.1145/2168556.2168607
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-03-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Calibration Eye tracking Adaptation
Content Type	Text
Resource Type	Article

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Analysing the potential of adapting head-mounted eye tracker calibration to a new user