Detection of fixations and smooth pursuit movements in high-speed eye-tracking data
(2015) In Biomedical Signal Processing and Control 18. p.145-152- Abstract
- A novel algorithm for the detection of fixations and smooth pursuit movements in high-speed eye-tracking data is proposed, which uses a three-stage procedure to divide the intersaccadic intervals intoa sequence of fixation and smooth pursuit events. The first stage performs a preliminary segmentationwhile the latter two stages evaluate the characteristics of each such segment and reorganize the pre-liminary segments into fixations and smooth pursuit events. Five different performance measures arecalculated to investigate different aspects of the algorithm’s behavior. The algorithm is compared to thecurrent state-of-the-art (I-VDT and the algorithm in [11]), as well as to annotations by two experts. Theproposed algorithm performs... (More)
- A novel algorithm for the detection of fixations and smooth pursuit movements in high-speed eye-tracking data is proposed, which uses a three-stage procedure to divide the intersaccadic intervals intoa sequence of fixation and smooth pursuit events. The first stage performs a preliminary segmentationwhile the latter two stages evaluate the characteristics of each such segment and reorganize the pre-liminary segments into fixations and smooth pursuit events. Five different performance measures arecalculated to investigate different aspects of the algorithm’s behavior. The algorithm is compared to thecurrent state-of-the-art (I-VDT and the algorithm in [11]), as well as to annotations by two experts. Theproposed algorithm performs considerably better (average Cohen’s kappa 0.42) than the I-VDT algorithm(average Cohen’s kappa 0.20) and the algorithm in [11] (average Cohen’s kappa 0.16), when comparedto the experts’ annotations. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4941066
- author
- Larsson, Linnéa LU ; Nyström, Marcus LU ; Andersson, Richard LU and Stridh, Martin LU
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- smooth pursuit, eye-tracking, Signal processing
- in
- Biomedical Signal Processing and Control
- volume
- 18
- pages
- 145 - 152
- publisher
- Elsevier
- external identifiers
-
- wos:000354150400018
- scopus:84921693206
- ISSN
- 1746-8094
- DOI
- 10.1016/j.bspc.2014.12.008
- language
- English
- LU publication?
- yes
- id
- 6587326f-96da-4b17-a279-59bb4656c873 (old id 4941066)
- date added to LUP
- 2016-04-01 14:23:12
- date last changed
- 2023-01-04 04:15:18
@article{6587326f-96da-4b17-a279-59bb4656c873, abstract = {{A novel algorithm for the detection of fixations and smooth pursuit movements in high-speed eye-tracking data is proposed, which uses a three-stage procedure to divide the intersaccadic intervals intoa sequence of fixation and smooth pursuit events. The first stage performs a preliminary segmentationwhile the latter two stages evaluate the characteristics of each such segment and reorganize the pre-liminary segments into fixations and smooth pursuit events. Five different performance measures arecalculated to investigate different aspects of the algorithm’s behavior. The algorithm is compared to thecurrent state-of-the-art (I-VDT and the algorithm in [11]), as well as to annotations by two experts. Theproposed algorithm performs considerably better (average Cohen’s kappa 0.42) than the I-VDT algorithm(average Cohen’s kappa 0.20) and the algorithm in [11] (average Cohen’s kappa 0.16), when comparedto the experts’ annotations.}}, author = {{Larsson, Linnéa and Nyström, Marcus and Andersson, Richard and Stridh, Martin}}, issn = {{1746-8094}}, keywords = {{smooth pursuit; eye-tracking; Signal processing}}, language = {{eng}}, pages = {{145--152}}, publisher = {{Elsevier}}, series = {{Biomedical Signal Processing and Control}}, title = {{Detection of fixations and smooth pursuit movements in high-speed eye-tracking data}}, url = {{http://dx.doi.org/10.1016/j.bspc.2014.12.008}}, doi = {{10.1016/j.bspc.2014.12.008}}, volume = {{18}}, year = {{2015}}, }