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
|Author:||Siirtola, Pekka1; Komulainen, Jukka2; Kellokumpu, Vili2,3|
1Biomimetics and Intelligent Systems Group, University of Oulu
2Center for Machine Vision and Signal Analysis, University of Oulu
3Bittium Wireless Ltd
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201901021027
|Publish Date:|| 2019-01-02
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.
|Pages:||639 - 644|
Proceedings of the26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2018, Bruges, Belgium, April 25-27
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
© 2018 ESANN and the authors. Published in this repository with the kind permission of the publisher.