Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:B3L-E
Session:
Number:B3L-E-04
Biometric Authentication Based on Unconscious Arm Swing Action with Acceleration Sensor
Motoharu Nakajima , Jousuke Kuroiwa , Tomohiro Odaka , Izumi Suwa,
pp.363-366
Publication Date:12/12/2022
Online ISSN:2188-5079
DOI:10.34385/proc.71.B3L-E-04
PDF download (410KB)
Summary:
In this paper, we investigate a simple and robust personal authentication method for smartphone applications. We focus on arm swing actions which are unconscious. Therefore, the purposes of this paper are (i) to present a novel authentication method based on their characteristic features, and (ii) to show the authentication ability of the method. From the computer evaluations, it suggests that the proposed personal authentication method based on arm swing actions is quite robust and practical.