Title: On a user authentication method to realise an authentication system using s-EMG

Authors: Hisaaki Yamaba; Shotaro Usuzaki; Kayoko Takatsuka; Kentaro Aburada; Tetsuro Katayama; Mirang Park; Naonobu Okazaki

Addresses: Department of Computer Science and Systems Engineering, University of Miyazaki, Miyazaki, Japan ' Department of Computer Science and Systems Engineering, University of Miyazaki, Miyazaki, Japan ' Department of Computer Science and Systems Engineering, University of Miyazaki, Miyazaki, Japan ' Department of Computer Science and Systems Engineering, University of Miyazaki, Miyazaki, Japan ' Department of Computer Science and Systems Engineering, University of Miyazaki, Miyazaki, Japan ' Department of Information Network and Communication, Kanagawa Institute of Technology, Kanagawa, Japan ' Department of Computer Science and Systems Engineering, University of Miyazaki, Miyazaki, Japan

Abstract: To prevent shoulder-surfing attacks, we proposed a user authentication method using surface electromyogram (s-EMG) signals, which can be used to identify who generated the signals and which gestures were made. Our method uses a technique called 'pass-gesture', which refers to a series of hand gestures, to achieve s-EMG-based authentication. However, it is necessary to introduce computer programs that can recognise gestures from the s-EMG signals. In this paper, we propose two methods that can be used to compare s-EMG signals and determine whether they were made by the same gesture. One uses support vector machines (SVMs), and the other uses dynamic time warping. We also introduced an appropriate method for selecting the validation data used to train SVMs using correlation coefficients and cross-correlation functions. A series of experiments was carried out to confirm the performance of those proposed methods, and the effectiveness of the two methods was confirmed.

Keywords: user authentication; surface electromyogram; SVMs; support vector machines; correlation coefficient; cross-correlation; DTW; dynamic time warping.

DOI: 10.1504/IJGUC.2020.110060

International Journal of Grid and Utility Computing, 2020 Vol.11 No.5, pp.725 - 734

Received: 02 Jan 2019
Accepted: 04 Oct 2019

Published online: 01 Aug 2020 *

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