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Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking
Conference paper

Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking

S. Stuart, B. Galna, S. Lord, L. Rochester and A. Godfrey
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.5739-5742
IEEE
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Chicago, IL, USA, 26/08/2014–30/08/2014)
2014
DOI: https://doi.org/10.1109/EMBC.2014.6944931
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Abstract

We validate a novel algorithm to detect saccades from raw data obtained during walking from a mobile infra-red eye-tracking device. The algorithm was based on a velocity threshold detection method, which excluded artefacts such as blinks and flickers using specific criteria. Mobile infra-red eye-tracking was performed with a group of healthy older adults (n=5) and Parkinson's disease (n=5) subjects. Saccades determined from raw eye tracker data obtained during walking using the algorithm were compared to a ground truth dataset defined as frame-by-frame visual inspection of raw eye-tracking videos. 100 trials from 10 subjects were analyzed and compared. The algorithm was highly reliable when compared to the ground truth (ICC(2,1) = 0.94), with an overall correct saccade detection percentage of 85%. This provides a simple yet robust algorithm for the analysis of mobile eye-tracking data.

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