five

Cognitector2024

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NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/gyynrd26mr
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Cognitector2024 This dataset was curated for monitoring attention, executive function and other cognitive states among university students using the trail-making test (TMT-A and TMT-B) experiment as a PhD research project to build an interpretable model based on a vision transformer for detecting such cognitive states based on facial expressions in a human video sequence. Forty-three video recordings of students who took the TMT-A and TMT-B test were originally in a .mov format, but were converted to .mp4 for the deep learning model. Each video duration spans from 13 seconds to a maximum of 60 seconds. By convention, an individual who completes the TMT-A test in less than 25 seconds was classified as having a Fast Attention Rate (FAR), while individuals who took more than 25 to 60 seconds to complete the task were considered to have an Average Attention Rate (AAR). The 25-second decision boundary for the class “Fast” against “Average” attentions is supported by the meta-analytic norms according to Tombaugh [1], where durations ≤ 25 seconds represent above-average performance (in the top 30%). Lezak et al. [2] clinical quartile splits and cognitive correlates [3] further support this, where a sub-25-sec performance reflects superior visual attention and processing speed. Thus, a total of 22 students were classified as AAR, while 21 were considered FAR. One outlier was observed in the AAR class, where the last sample shows a rather wider gap of over 10 seconds; otherwise, the time difference between the two classes was evenly distributed. Each video dataset consisted of 59.94 frames per second (fps), with each frame having a width of 1280 and a height of 720. The dataset on the TMT-B was not included in this version as it has not yet been tested. References [1] T. N. Tombaugh, “Normative Data for the Trail Making Test (TMT) in Healthy Adult Populations: A Meta-Analysis,” J Clin Exp Neuropsychol, vol. 26, no. 2, pp. 159–178, 2004, doi: 10.1076/jcen.26.2.159.28087. [2] M. D. Lezak, D. B. Howieson, E. D. Bigler, and D. Tranel, Neuropsychological Assessment, 5th ed. New York, NY: Oxford University Press, 2012. [Online]. Available: https://global.oup.com/academic/product/neuropsychological-assessment-9780195395525 [3] I. Sánchez-Cubillo et al., “Construct validity of the Trail Making Test: Role of task-switching, working memory, inhibition/interference control, and visuomotor abilities,” 2009, Cambridge University Press. doi: 10.1017/S1355617709090626.
创建时间:
2025-06-10
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