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

Titelangaben

Lehmann, Florian ; Buschek, Daniel:
Heartbeats in the Wild : A Field Study Exploring ECG Biometrics in Everyday Life.
2020
Veranstaltung: CHI Conference on Human Factors in Computing Systems , 25.04.2020 - 30.04.2020 , Honolulu, Hawaii, USA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1145/3313831.3376536

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Link zum Volltext (externe URL): Volltext

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-ID
AI Tools - Continuous Interaction with Computational Intelligence Tools
Ohne Angabe

Projektfinanzierung: Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst

Abstract

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.

Weitere Angaben

Publikationsform: Veranstaltungsbeitrag (Paper)
Begutachteter Beitrag: Ja
Keywords: electrocardiogram; ECG; biometrics; field study
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 12 Feb 2020 07:45
Letzte Änderung: 20 Aug 2020 12:33
URI: https://eref.uni-bayreuth.de/id/eprint/54332