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Design of electroencephalogram authentication access control to smart car

In recent years, with the development of intelligent vehicles, the demand for security will be bigger and bigger. One of the most important solutions is the use of new biometric technology. At present, there are still some areas to be improved on biometric technology. For example, diseases will dest...

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Detalles Bibliográficos
Autores principales: Chen, Yuhua, Yin, Jinghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494368/
https://www.ncbi.nlm.nih.gov/pubmed/32983547
http://dx.doi.org/10.1049/htl.2019.0092
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author Chen, Yuhua
Yin, Jinghai
author_facet Chen, Yuhua
Yin, Jinghai
author_sort Chen, Yuhua
collection PubMed
description In recent years, with the development of intelligent vehicles, the demand for security will be bigger and bigger. One of the most important solutions is the use of new biometric technology. At present, there are still some areas to be improved on biometric technology. For example, diseases will destroy some biological characteristics, some detection methods are too slow, many detection methods do not need living detection, and so on. Electroencephalogram (EEG) is a new biometric tool for living identification. In this Letter, a kind of identity authentication system based on the EEG signal is presented. The overall goal of this research is to design a new authentication method and develop the corresponding application. Therefore, the authors carried out a series of EEG experiments, and analysed and discussed the experimental results. Based on these results, they build and present an access control system based on the uniqueness of their EEG signals to be capable of authenticating access control to the car. The accuracy of the authentication system is >87.3%.
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spelling pubmed-74943682020-09-24 Design of electroencephalogram authentication access control to smart car Chen, Yuhua Yin, Jinghai Healthc Technol Lett Article In recent years, with the development of intelligent vehicles, the demand for security will be bigger and bigger. One of the most important solutions is the use of new biometric technology. At present, there are still some areas to be improved on biometric technology. For example, diseases will destroy some biological characteristics, some detection methods are too slow, many detection methods do not need living detection, and so on. Electroencephalogram (EEG) is a new biometric tool for living identification. In this Letter, a kind of identity authentication system based on the EEG signal is presented. The overall goal of this research is to design a new authentication method and develop the corresponding application. Therefore, the authors carried out a series of EEG experiments, and analysed and discussed the experimental results. Based on these results, they build and present an access control system based on the uniqueness of their EEG signals to be capable of authenticating access control to the car. The accuracy of the authentication system is >87.3%. The Institution of Engineering and Technology 2020-09-03 /pmc/articles/PMC7494368/ /pubmed/32983547 http://dx.doi.org/10.1049/htl.2019.0092 Text en http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
spellingShingle Article
Chen, Yuhua
Yin, Jinghai
Design of electroencephalogram authentication access control to smart car
title Design of electroencephalogram authentication access control to smart car
title_full Design of electroencephalogram authentication access control to smart car
title_fullStr Design of electroencephalogram authentication access control to smart car
title_full_unstemmed Design of electroencephalogram authentication access control to smart car
title_short Design of electroencephalogram authentication access control to smart car
title_sort design of electroencephalogram authentication access control to smart car
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494368/
https://www.ncbi.nlm.nih.gov/pubmed/32983547
http://dx.doi.org/10.1049/htl.2019.0092
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