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  Unsupervised clustering of EOG as a viable substitute for optical eye-tracking

Flad, N., Fomina, T., Bülthoff, H., & Chuang, L. (2017). Unsupervised clustering of EOG as a viable substitute for optical eye-tracking. In D. Weiskopf, M. Burch, L. Chuang, B. Fischer, & A. Schmidt (Eds.), Eye Tracking and Visualization: Foundations, Techniques, and Applications: ETVIS 2015 (pp. 151-167). Cham, Switzerland: Springer.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-C3C5-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-C74E-9
Genre: Conference Paper

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 Creators:
Flad, N1, 2, 3, Author              
Fomina, T, Author
Bülthoff, HH2, 3, 4, Author              
Chuang, LL1, 2, 3, Author              
Affiliations:
1Project group: Cognition & Control in Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528703              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
4Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              

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 Abstract: Eye-movements are typically measured with video cameras and image recognition algorithms. Unfortunately, these systems are susceptible to changes in illumination during measurements. Electrooculography (EOG) is another approach for measuring eye-movements that does not suffer from the same weakness. Here, we introduce and compare two methods that allow us to extract the dwells of our participants from EOG signals under presentation conditions that are too difficult for optical eye tracking. The first method is unsupervised and utilizes density-based clustering. The second method combines the optical eye-tracker’s methods to determine fixations and saccades with unsupervised clustering. Our results show that EOG can serve as a sufficiently precise and robust substitute for optical eye tracking, especially in studies with changing lighting conditions. Moreover, EOG can be recorded alongside electroencephalography (EEG) without additional effort.

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 Dates: 2017
 Publication Status: Published in print
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 Identifiers: DOI: 10.1007/978-3-319-47024-5_9
BibTex Citekey: FladFBC2015
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Title: First Workshop on Eye Tracking and Visualization (ETVIS 2015)
Place of Event: Chicago, IL, USA
Start-/End Date: 2015-10-15

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Title: Eye Tracking and Visualization: Foundations, Techniques, and Applications: ETVIS 2015
Source Genre: Proceedings
 Creator(s):
Weiskopf, D., Editor
Burch, M., Editor
Chuang, L., Editor
Fischer, B., Editor
Schmidt, A., Editor
Affiliations:
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Publ. Info: Cham, Switzerland : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 151 - 167 Identifier: ISBN: 978-3-319-47023-8

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Title: Mathematics and Visualization
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