research-article

Auth ‘n’ Scan: Opportunistic Photoplethysmography in Mobile Fingerprint Authentication

Authors:

Takahiro Hashizume,

Takuya Arizono,

Koji YataniAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 4

Article No.: 137, Pages 1 - 27

https://doi.org/10.1145/3161189

Published: 08 January 2018 Publication History

Abstract

Recent commodity smartphones have biometric sensing capabilities, allowing their daily use for authentication and identification. This increasing use of biometric systems motivates us to design an opportunistic way to sense user's additional physiological or behavioral data. We define this concurrent physiological or behavioral data sensing during biometric authentication or identification as dual-purpose biometrics. As an instance of dual-purpose biometrics, we develop photoplethysmography (PPG) sensing during mobile fingerprint authentication, called Auth ‘n’ Scan. Our system opportunistically extracts cardiovascular information, such as a heart rate and its variability, while users perform phone unlock of a smartphone. To achieve this sensing, our Auth ‘n’ Scan system attaches four PPG units around a fingerprint sensor. The system also performs noise removal and signal selection to accurately estimate cardiovascular information. This paper presents the hardware implementation and signal processing algorithm of our Auth ‘n’ Scan prototype. We also report our system evaluations with 10 participants, showing that, despite a little low precision (a standard deviation of 3--7), estimation of heart rates with high accuracy (under a mean error of 1) is possible from PPG data of five seconds and longer if their baseline information is given. We discuss the feasibility of opportunistic PPG sensing in mobile fingerprint authentication.

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Auth ‘n’ Scan: Opportunistic Photoplethysmography in Mobile Fingerprint Authentication

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 4

December 2017

1298 pages

EISSN:2474-9567

DOI:10.1145/3178157

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Publication History

Published: 08 January 2018

Accepted: 01 October 2017

Revised: 01 August 2017

Received: 01 May 2017

Published in IMWUT Volume 1, Issue 4

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https://dl.acm.org/doi/10.1145/3581641.3584070
Chen KWang LHuang YWu KWang LCosta XAl Hassanieh HAsadi ACox LPerino DWidmer JGiustiniano D(2023)LiT: Fine-grained Toothbrushing Monitoring with Commercial LED ToothbrushProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3613287(1-16)Online publication date: 2-Oct-2023
https://dl.acm.org/doi/10.1145/3570361.3613287
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https://doi.org/10.1109/INFOCOM53939.2023.10229037
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