Abstract
This article details our developed algorithm for eye tracking in low resolution video recordings, especially those with sub-VGA resolution and using lossy compression. The proposed method for eye tracking is an important step towards the successful detection of eye blink artifacts which result in false delta activity being recorded in EEG records. Once detected, we can automatically remove the erroneous delta activity during pre-processing of the EEG records and ultimately improve the precision of automated EEG analysis.
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© 2014 Springer International Publishing Switzerland
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Babusiak, B., Barabas, J. (2014). Eye Tracking Method in Low Resolution Video Recordings Using Fixed Reference Objects. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 4. Advances in Intelligent Systems and Computing, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-319-06596-0_20
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DOI: https://doi.org/10.1007/978-3-319-06596-0_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06595-3
Online ISBN: 978-3-319-06596-0
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