The Effectiveness of Dynamic Features of Finger Based Gestures on Smartphones’ Touchscreens for User Identification

The Effectiveness of Dynamic Features of Finger Based Gestures on Smartphones’ Touchscreens for User Identification

The Effectiveness of Dynamic Features ofGesture

Smartphones

Touchscreen

User Identification

This paper presents methodology for user identification on smartphone and mini-tablet using finger based gestures. In this paper, a set of four features, namely Signature Precision (SP), Finger Pressure (FP), Movement Time (MT), and Speed were extracted from each gesture of eight using dynamic time warping and Euclidean distance. The features are then used individually and combined for the purpose of user identification based on the Euclidean distance and the k-nearest neighbour classifier. We concluded that the best identification accuracy results from the combinations of FP and MT features where 78.46% and 78.33% were achieved on small smartphone and Mini-tablet respectively using a dataset of 50 users.

AlShowarah, Suleyman

International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 1 (2017); pp. 133-142

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2017-01-31

Copyright (c) 2017 Suleyman AlShowarah

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article