Unsupervised Blink Detection Using Eye Aspect Ratio Values Article Swipe
Bharana Fernando
,
Arjun Sridhar
,
Shawhin Talebi
,
John Waczak
,
David Lary
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.5874701
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.5874701
This datastore supports an open-source blink detection software which acts as both an implementation of methods proposed in the (unpublished) paper "Unsupervised Blink Detection Using Eye Aspect Ratio Values" and a validation of the results provided. The software can be accessed at the GitHub repository: https://github.com/mi3nts/tobiiBlinkDetection Although the study results can be displayed readily from the files provided at the GitHub, this datastore contains the required resources to apply the proposed blink detection algorithm to new data. Simply download this file and replace the resources folder of the cloned repository.
Related Topics
Concepts
Metadata
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All OpenAlex metadata
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Unsupervised Blink Detection Using Eye Aspect Ratio ValuesWork title
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datasetOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-01-18Full publication date if available
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Bharana Fernando, Arjun Sridhar, Shawhin Talebi, John Waczak, David LaryList of authors in order
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https://doi.org/10.5281/zenodo.5874701Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doi.org/10.5281/zenodo.5874701Direct OA link when available
- Concepts
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Computer science, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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