University of Oulu

Siirtola, Pekka; Komulainen, Jukka; Kellokumpu, Vili (2018) Effect of context in swipe gesture-based continuous authentication on smartphones. In: Proceedings of the26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2018, Bruges, Belgium, April 25-27. pp. 639-644.

Effect of context in swipe gesture-based continuous authentication on smartphones

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Author: Siirtola, Pekka1; Komulainen, Jukka2; Kellokumpu, Vili2,3
Organizations: 1Biomimetics and Intelligent Systems Group, University of Oulu
2Center for Machine Vision and Signal Analysis, University of Oulu
3Bittium Wireless Ltd
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201901021027
Language: English
Published: ESANN, 2018
Publish Date: 2019-01-02
Description:

Abstract

This work investigates how context should be taken into account when performing continuous authentication of a smartphone user based on touchscreen and accelerometer readings extracted from swipe gestures. The study is conducted on the publicly available HMOG dataset consisting of 100 study subjects performing pre-defined reading and navigation tasks while sitting and walking. It is shown that context-specific models are needed for different smartphone usage and human activity scenarios to minimize authentication error. Also, the experimental results suggests that utilization of phone movement improves swipe gesture-based verification performance only when the user is moving.

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ISBN: 978-2-87587-047-6
Pages: 639 - 644
Article number: ES2018-104
Host publication: Proceedings of the26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2018, Bruges, Belgium, April 25-27
Conference: European symposium on artificial neural networks, computational intelligence and machine learning
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
Subjects:
Copyright information: © 2018 ESANN and the authors. Published in this repository with the kind permission of the publisher.