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Sensing Movement on Smartphone Devices to Assess User Interaction for Face Verification.

, , , , and . ICCST, page 1-5. IEEE, (2018)

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Exploring Mobile Biometric Performance Through Identification of Core Factors and Relationships., , , and . IEEE Trans. Biom. Behav. Identity Sci., 1 (4): 278-291 (2019)Predicting sex as a soft-biometrics from device interaction swipe gestures., , , and . Pattern Recognit. Lett., (2016)Diagnosis of Visuo-Spatial Neglect Using Dynamic Sequence Features from a Cancellation Task., , and . Pattern Anal. Appl., 5 (3): 261-270 (2002)A computer-based quantitative assessment of visuo-spatial neglect using regression and data transformation., , , and . Pattern Anal. Appl., 13 (4): 409-422 (2010)Adapting to Movement Patterns for Face Recognition on Mobile Devices., , and . ICPR Workshops (8), volume 12668 of Lecture Notes in Computer Science, page 209-228. Springer, (2020)A new approach to automatic signature complexity assessment., , and . ICCST, page 1-7. IEEE, (2016)Interaction evaluation of a mobile voice authentication system., , , and . ICCST, page 1-8. IEEE, (2016)Complexity-Based Biometric Signature Verification., , , , and . ICDAR, page 195-200. IEEE, (2017)Regions of interest in static signature verification., and . BIOSIG, volume P-196 of LNI, page 1-5. GI, (2012)additionally published as volume P-196 in the "Lecture Notes in Informatics" (LNI) series.The repeatability of signatures.. IWFHR, page 492-497. IEEE Computer Society, (2004)