The elastic k-nearest neighbours classifier for touch screen gestures
Authors:
- Krzysztof Rzecki,
- Leszek Siwik,
- Mateusz Baran
Abstract
Touch screen gestures are a well-known method of person authentication in mobile devices. In most applications it is, however, reduced to checking if the user entered the correct pattern. Using additional information based on the speed and shape of finger movements can provide higher security without significantly impacting the convenience of this authorization method. In this work a new distance function for the k-nearest neighbour (kNN) classifier is considered in the problem of person recognition based on touch screen gestures. The function is based on the well-known Lp distance and the elastic distance considered in elastic shape analysis. Performance of the classifier is measured using 5-fold stratified cross-validation on a set of 12 people. Only four gesture performances per gesture for each person are used to train a model. The effects of sampling rate on the classifier performance is also measured. The kNN classifier with the proposed distance function has higher accuracy than both the Lp distance and the elastic distance.
- Record ID
- CUT6946a38ce29249fa85db504ce8c7a807
- Publication categories
- ; ;
- Author
- Pages
- 608-615
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - 614-615; Bibliografia (liczba pozycji) - 28; Oznaczenie streszczenia - Abstr.
- Book
- Rutkowski Leszek, Leszek Rutkowski Scherer Rafał, Rafał Scherer Korytkowski Marcin Marcin Korytkowski [et al.] (eds.): Artificial Intelligenceand Soft Computing : 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019 : proceedings. Pt. 1, Lecture Notes in Artificial Intelligence, no. 11508, 2019, Cham, Springer, Springer, ISBN 978-3-030-20912-4 (eBook)
- Keywords in English
- touch screen gestures, biometrics, classification, elastic shape analysis, pattern recognition
- DOI
- DOI:10.1007/978-3-030-20912-4_55 Opening in a new tab
- URL
- https://link.springer.com/chapter/10.1007/978-3-030-20912-4_55 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Web of Science, Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT6946a38ce29249fa85db504ce8c7a807/
- URN
urn:pkr-prod:CUT6946a38ce29249fa85db504ce8c7a807
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.