Conference paper
Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking
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
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.
Details
- Title
- Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking
- Authors/Creators
- S. Stuart (Author/Creator) - Newcastle UniversityB. Galna (Author/Creator) - Newcastle UniversityS. Lord (Author/Creator) - Newcastle UniversityL. Rochester (Author/Creator) - Newcastle UniversityA. Godfrey (Author/Creator) - Newcastle University
- Publication Details
- 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.5739-5742
- Conference
- 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Chicago, IL, USA, 26/08/2014–30/08/2014)
- Publisher
- IEEE
- Identifiers
- 991005540064807891
- Copyright
- © 2014 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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