Remote Identity Verification Using Gait Analysis and Face Recognition
Joint Authors
Tan, Wei
Si, Wen
Zhang, Jing
Li, Yu-Dong
Shao, Yi-Fan
Yang, Ge-Lan
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Biometric identification has verified its effectiveness in personal identity verification because of the uniqueness and noninvasion.
In this research, we tend to apply the detection of biometric information to a remote sensing system for the purpose of security area monitoring.
Our system is established by collecting signals from the coming individuals via the remote measurement in the specific condition where both kinds of data are detected to determine the identity.
Specifically, the measuring of gait signals and facial images is integrated to provide a way of improving the detection accuracy and the robustness.
In addition, the fuzzy association rule (FAR) is employed for data analysis in line with the outcomes of different methods.
As such, the signals are integrated and transmitted for further processing and remote identification.
Experiments are conducted to demonstrate the capability of the proposed system.
With the training data increases, a high detection accuracy of 95.2% is obtained, which makes it a promising basis for the realization of remote identity verification.
American Psychological Association (APA)
Si, Wen& Zhang, Jing& Li, Yu-Dong& Tan, Wei& Shao, Yi-Fan& Yang, Ge-Lan. 2020. Remote Identity Verification Using Gait Analysis and Face Recognition. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214566
Modern Language Association (MLA)
Si, Wen…[et al.]. Remote Identity Verification Using Gait Analysis and Face Recognition. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1214566
American Medical Association (AMA)
Si, Wen& Zhang, Jing& Li, Yu-Dong& Tan, Wei& Shao, Yi-Fan& Yang, Ge-Lan. Remote Identity Verification Using Gait Analysis and Face Recognition. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214566
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214566