Hand Biometrics Using Capacitive Touchscreens

Tartz, Robert; Gooding, Ted

doi:10.1145/2815585.2815721

Cited by 5 publications

(1 citation statement)

References 3 publications

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“…Mobile and wearable technologies' continuous proximity to the user's body provides favorable conditions for unobtrusively capturing biometrics for authentication. Many such uses have been proposed that embrace usability like touch-based interactions (Holz and Knaust, 2015; Tartz and Gooding, 2015) and walking patterns (Lu et al, 2014) using mobile phones, as well as identification via head movements and blinking in head-worn devices (Rogers et al, 2015). However, these typically draw only from the inherence factor.…”

Section: Related Workmentioning

confidence: 99%

One-Step, Three-Factor Passthought Authentication With Custom-Fit, In-Ear EEG

et al. 2019

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In-ear EEG offers a promising path toward usable, discreet brain-computer interfaces (BCIs) for both healthy individuals and persons with disabilities. To test the promise of this modality, we produced a brain-based authentication system using custom-fit EEG earpieces. In a sample of N = 7 participants, we demonstrated that our system has high accuracy, higher than prior work using non-custom earpieces. We demonstrated that both inherence and knowledge factors contribute to authentication accuracy, and performed a simulated attack to show our system's robustness against impersonation. From an authentication standpoint, our system provides three factors of authentication in a single step. From a usability standpoint, our system does not require a cumbersome, head-worn device.

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Section: Related Workmentioning

confidence: 99%