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Most Influential MOBICOM 2017 Paper · 2026-03 edition

Cardiac Scan: A Non-contact And Continuous Heart-based User Authentication System

Feng Lin, Chen Song, Yan Zhuang, Wenyao Xu, Changzhi Li, Kui Ren

Venue
International Conference on Mobile Computing and Networking (MOBICOM) 2017
Recognition
Most Influential MOBICOM 2017 Paper (Rank No. 6)
Edition
2026-03
Impact factor
4
Certificate ID
0672824cd5dffdf6

Abstract

Continuous authentication is of great importance to maintain the security level of a system throughout the login session. The goal of this work is to investigate a trustworthy, continuous, and non-contact user authentication approach based on a heart-related biometric that works in a daily-life environment. To this end, we present a novel, continuous authentication system, namely <i>Cardiac Scan</i>, based on geometric and non-volitional features of the cardiac motion. Cardiac motion is an automatic heart deformation caused by self-excitement of the cardiac muscle, which is unique to each user and is difficult (if not impossible) to counterfeit. <i>Cardiac Scan</i> features intrinsic liveness detection, unobtrusiveness, cost-effectiveness, and high usability. We prototype a remote, high-resolution cardiac motion sensing system based on the smart DC-coupled continuous-wave radar. Fiducial-based invariant identity descriptors of cardiac motion are extracted after the radar signal demodulation. We conduct a pilot study with 78 subjects to evaluate <i>Cardiac Scan</i> in <i>accuracy</i>, <i>authentication time</i>, <i>permanence</i>, <i>evaluation in complex conditions</i>, and <i>vulnerability</i>. Specifically, <i>Cardiac Scan</i> achieves 98.61% balanced accuracy (BAC) and 4.42% equal error rate (EER) in a real-world setup. We demonstrate that <i>Cardiac Scan</i> is a robust and usable continuous authentication system.

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