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4 results for “Blink Detection”

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zenodo44/100

Data set to article "Rapid serial processing of natural scenes: Color modulates detection but neither recognition nor the attentional blink"

<p>The file Data_Marxetal2014_AB.csv contains the data to the paper<br> Marx, S., Hansen-Goos, O., Thrun, M., &amp; Einhäuser, W. (2014). Rapid serial processing of natural scenes: Color modulates detection but neither recognition nor the attentional blink. Journal of Vision, 14(14):4, 1-18, http://www.journalofvision.org/content/14/14/4, doi:10.1167/14.14.4.<br> as comma-separated value (csv) file</p> <p>Each row contains the data of one trial, represented by the following columns</p> <p>1 - number of the line<br> 2 - subject ID<br> 3 - experiment number<br> 4 - color condition (1: gray inverted, 2: gray original, 3: color inverted, 4: color original)<br> 5 - number of targets<br> 6 - SOA in ms<br> 7 - serial position of first target (0 if absent)<br> 8 - serial position of second target (0 if absent)<br> 9 - category of first target (1: feline, 2: avian, 3: ungulate, 4: canine)<br> 10 - category of second target (1: feline, 2: avian, 3: ungulate, 4: canine)<br> 11 - response to "How many animals?" (detection)<br> 12 - response to first category (recognition, 1: feline, 2: avian, 3: ungulate, 4: canine)<br> 13 - response to second category (recognition, 1: feline, 2: avian, 3: ungulate, 4: canine)</p>

opencc-by-4.0Dec 2014View details →
zenodo36/100

Unsupervised Blink Detection Using Eye Aspect Ratio Values

<p>This datastore supports an open-source blink detection software which&nbsp;acts as both an implementation of methods proposed in the (unpublished) paper &quot;Unsupervised Blink Detection Using Eye Aspect Ratio Values&quot; and a validation of the results provided.</p> <p>The software can be accessed at the <strong>GitHub repository</strong>:&nbsp;<a href="https://github.com/mi3nts/tobiiBlinkDetection">https://github.com/mi3nts/tobiiBlinkDetection</a></p> <p>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&nbsp;algorithm to new data.&nbsp;Simply download this file and replace the resources folder of the cloned repository.</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Exploring Blink-Rate Behaviors for Cybersickness Detection in VR

<p>This Dataset was constructed for the paper &quot;Exploring Blink-Rate Behaviors for Cybersickness Detection in VR&quot; by Lopes, Tian and Boulic; published at the IEEE VR conference in 2020.</p> <p>All data was recorded using the HTC Vive Pro Eye at a sampling rate of 120hz. Furthermore, this dataset also includes the SSQ responses obtained from the participants.</p> <p>Further details are included in the .zip file on how to interpret and process this data.</p>

opencc-by-4.0Mar 2020View details →
ClinicalTrials.gov24/100

Effect of Blink-Based Training on Cancer Detection in Colorectal Polyp Images by Medical Students/Non GI-trainees

ClinicalTrials.gov study NCT07401004. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

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