A Study on a User Identification Method Using Dynamic Time Warping to Realize an Authentication System by s-EMG

2018 ◽  
pp. 889-900 ◽  
Author(s):  
Tokiyoshi Kurogi ◽  
Hisaaki Yamaba ◽  
Kentaro Aburada ◽  
Tetsuro Katayama ◽  
Mirang Park ◽  
...  
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
User Identification ◽  
Identification Method ◽  
Authentication System ◽  
Dynamic Time

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

2017 ◽  
Vol 11 (1) ◽  
pp. 133
Author(s):  
Suleyman AlShowarah
Keyword(s):  
Dynamic Time Warping ◽  
Euclidean Distance ◽  
Movement Time ◽  
Identification Accuracy ◽  
Dynamic Features ◽  
Time Warping ◽  
User Identification ◽  
Nearest Neighbour Classifier ◽  
Dynamic Time ◽  
Finger Pressure

<strong>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.</strong>

scholarly journals Defect Identification Method of CMC Bonding Structure based on Dynamic Time Warping and Simulation Analysis

2021 ◽  
Author(s):  
jiyang zhang ◽  
jiaojiao ren ◽  
dandan zhang ◽  
jian gu ◽  
lijuan li ◽  
...  
Keyword(s):  
Dynamic Time Warping ◽  
Simulation Analysis ◽  
Ceramic Matrix Composites ◽  
Imaging Method ◽  
Time Warping ◽  
Defect Identification ◽  
Bonding Structure ◽  
Identification Method ◽  
Layer I ◽  
Dynamic Time

Abstract In this work, a new defect identification method has been proposed in an attempt to detect the bonding quality of ceramic matrix composites. The method is based entirely on dynamic time warping (DTW) and simulation analysis. Aiming at two different characteristic defects of the glue layer (I) and glue layer (II) of CMC, the transfer matrix method is employed to model and simulate the defects in the bonding structure. On the basis of this, a dynamic time warping algorithm is used to regularize the simulation waveform and the actual waveform in time sequence, and the correlation coefficient is employed for the estimation of waveform similarity after regularization. In comparison with the traditional similarity evaluation standard of the DTW algorithm, the improved DTW algorithm has better waveform classification ability for the glue layer (I) and glue layer (II). The classification accuracy of debonding defects of the glue layer (I) is more than 95%, and that of the glue layer (II) exceeds 90%. Additionally, compared with the conventional terahertz imaging method, correlation imaging is appropriate for different characteristics of defect signals and has an improved defect-recognition effect.

Template Protection and Renewability for Dynamic Time Warping Based Biometric Signature Verification

2009 ◽  
Vol 1 (4) ◽  
pp. 40-57 ◽  
Author(s):  
Emanuele Maiorana ◽  
Patrizio Campisi ◽  
Alessandro Neri
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
The Public ◽  
Protection Scheme ◽  
Signature Database ◽  
Template Protection ◽  
On Line ◽  
Authentication System ◽  
Matching Strategy ◽  
Dynamic Time

In this article, the authors propose a protected on-line signature based biometric authentication system, where the original signature templates are protected by transforming them in a non-invertible way. Recovering the original biometrics from the stored data is thus computationally as hard as random guessing them. The transformed templates are compared employing a Dynamic Time Warping (DTW) matching strategy. The reported experimental results, evaluated on the public MCYT signature database, show that the achievable recognition rates are only slightly affected by the proposed protection scheme, which is able to guarantee the desired security and renewability for the considered biometrics.

scholarly journals Design of Speaker Verification using Dynamic Time Warping (DTW) on Graphical Programming for Authentication Process

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Barlian Henryranu Prasetio ◽  
Dahnial Syauqy
Keyword(s):  
Speech Recognition ◽  
Dynamic Time Warping ◽  
Speaker Verification ◽  
Time Warping ◽  
Graphical Programming ◽  
Human Voice ◽  
Authentication System ◽  
Dynamic Time

Authentication is generally required on systems which need safety and privacy. In common, typed username and password are used and applied in authentication system. However, this type of authentication has been identified to have many weaknesses. In order to overcome the problem, many proposed authentication system based on voice as unique characteristics of human. We implement Dynamic Time Warping algorithm to compare human voice with reference voice as the authentication process. The testing results show that the system accuracy of the speech recognition average is 86.785%.

Sign in / Sign up

Export Citation Format

Share Document