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Heartbeats in the Wild : A Field Study Exploring ECG Biometrics in Everyday Life

Title data

Lehmann, Florian ; Buschek, Daniel:
Heartbeats in the Wild : A Field Study Exploring ECG Biometrics in Everyday Life.
2020
Event: CHI Conference on Human Factors in Computing Systems , 25.04.2020 - 30.04.2020 , Honolulu, Hawaii, USA.
(Conference item: Conference , Paper )

Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

Project financing: Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst

Abstract in another language

This paper reports on an in-depth study of electrocardiogram (ECG) biometrics in everyday life. We collected ECG data from 20 people over a week, using a non-medical chest tracker. We evaluated user identification accuracy in several scenarios and observed equal error rates of 9.15% to 21.91%, heavily depending on 1) the number of days used for training, and 2) the number of heartbeats used per identification decision. We conclude that ECG biometrics can work in the wild but are less robust than expected based on the literature, highlighting that previous lab studies obtained highly optimistic results with regard to real life deployments. We explain this with noise due to changing body postures and states as well as interrupted measures. We conclude with implications for future research and the design of ECG biometrics systems for real world deployments, including critical reflections on privacy.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: electrocardiogram; ECG; biometrics; field study
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 12 Feb 2020 07:45
Last Modified: 12 Feb 2020 07:45
URI: https://eref.uni-bayreuth.de/id/eprint/54332