liveness detection
The paper presents a novel dataset of continuous, high-quality, contactless fingerprint image streams of the right-hand thumb finger captured from 46 participants, along with synchronized heart rate measurements. The presented dataset was captured with the help of an off-the-shelf monochrome blue-light fingerprint scanner of 500 ppi with 14 fps, accompanied by a commercially available smartwatch for measuring heart rates.
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Dataset used in the article "The Reverse Problem of Keystroke Dynamics: Guessing Typed Text with Keystroke Timings". CSV files with dataset results summaries, the evaluated sentences, detailed results, and scores. Results data contains training and evaluation ARFF files for each user, containing features of synthetic and legitimate samples as described in the article. The source data comes from three free text keystroke dynamics datasets used in previous studies, by the authors (LSIA) and two other unrelated groups (KM, and PROSODY, subdivided in GAY, GUN, and REVIEW).
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