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

Authors

  • Suleyman AlShowarah

DOI:

https://doi.org/10.3991/ijim.v11i1.6368

Keywords:

The Effectiveness of Dynamic Features ofGesture, Smartphones, Touchscreen, User Identification

Abstract


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.

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Published

2017-01-31

How to Cite

AlShowarah, S. (2017). The Effectiveness of Dynamic Features of Finger Based Gestures on Smartphones’ Touchscreens for User Identification. International Journal of Interactive Mobile Technologies (iJIM), 11(1), pp. 133–142. https://doi.org/10.3991/ijim.v11i1.6368

Issue

Section

Papers