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

Stuart, S., Galna, B.ORCID: 0000-0002-5890-1894, Lord, S., Rochester, L. and Godfrey, A. (2014) Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 26-30 August 2014, Chicago, IL, USA pp. 5739-5742.

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.

Item Type:	Conference Paper
Publisher:	IEEE
Copyright:	© 2014 IEEE
URI:	http://researchrepository.murdoch.edu.au/id/eprint/62999

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