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

Samuel Stuart; Brook Galna; Sue Lord; Lynn Rochester; Alan Godfrey

doi:10.1109/EMBC.2014.6944931

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

Samuel Stuart, Brook Galna, Sue Lord, Lynn Rochester, Alan Godfrey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

34 Citations (Scopus)

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.

Original language	English
Title of host publication	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Publisher	IEEE
Pages	5739-5742
Number of pages	4
ISBN (Electronic)	9781424479290
DOIs	https://doi.org/10.1109/EMBC.2014.6944931
Publication status	Published - 6 Nov 2014
Externally published	Yes
Event	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States Duration: 26 Aug 2014 → 30 Aug 2014

Conference

Conference	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Country/Territory	United States
City	Chicago
Period	26/08/14 → 30/08/14

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10.1109/EMBC.2014.6944931

Cite this

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

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.",

author = "Samuel Stuart and Brook Galna and Sue Lord and Lynn Rochester and Alan Godfrey",

year = "2014",

month = nov,

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doi = "10.1109/EMBC.2014.6944931",

language = "English",

pages = "5739--5742",

booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",

publisher = "IEEE",

address = "United States",

note = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 ; Conference date: 26-08-2014 Through 30-08-2014",

}

Stuart, S, Galna, B, Lord, S, Rochester, L & 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, EMBC 2014. IEEE, pp. 5739-5742, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 26/08/14. https://doi.org/10.1109/EMBC.2014.6944931

Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking. / Stuart, Samuel; Galna, Brook; Lord, Sue et al.
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. IEEE, 2014. p. 5739-5742.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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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ER -

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

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