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Content Provider | ACM Digital Library |
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Author | Gebejes, Ana Bednarik, Roman Fält, Pauli Hauta-Kasari, Markku |
Abstract | A way to improve gaze tracking by spectral imaging is presented. Spectral still and video cameras enabled a collection of a novel database consisting of 180 multispectral eye movement videos and 30 spectral images of the eyes of 30 voluntary human subjects. Unfavorable conditions, such as eyewear reflections, extreme angles and make-up were incorporated. Unlike conventional RGB and gray scale eye tracking a seven-channel spectral video capture over the wavelength range of 380-1000 nm, in addition with spectral still images in the range of 450-950 nm, provided a detailed acquisition of spectral signatures of the eye and its surroundings. These signatures can be exploited to create new methodologies for imaging, training, analysis and interpretation of eye tracking data in harsh conditions. |
Starting Page | 1666 |
Ending Page | 1675 |
Page Count | 10 |
File Format | |
ISBN | 9781450344623 |
DOI | 10.1145/2968219.2968335 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2016-09-12 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Spectral database Hyperspectral image Eye tracking Multispectral video |
Content Type | Text |
Resource Type | Article |
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