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A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors

Multimodal biometrics are promising for providing a strong security level for personal authentication, yet the implementation of a multimodal biometric system for practical usage need to meet such criteria that multimodal biometric signals should be easy to acquire but not easily compromised. We dev...

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Autores principales: Kim, Hanvit, Kim, Haena, Chun, Se Young, Kang, Jae-Hwan, Oakley, Ian, Lee, Youryang, Ryu, Jun Oh, Kim, Min Joon, Park, In Kyu, Hong, Hyuck Ki, Jo, Young Chang, Kim, Sung-Phil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111883/
https://www.ncbi.nlm.nih.gov/pubmed/30127306
http://dx.doi.org/10.3390/s18082738
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author Kim, Hanvit
Kim, Haena
Chun, Se Young
Kang, Jae-Hwan
Oakley, Ian
Lee, Youryang
Ryu, Jun Oh
Kim, Min Joon
Park, In Kyu
Hong, Hyuck Ki
Jo, Young Chang
Kim, Sung-Phil
author_facet Kim, Hanvit
Kim, Haena
Chun, Se Young
Kang, Jae-Hwan
Oakley, Ian
Lee, Youryang
Ryu, Jun Oh
Kim, Min Joon
Park, In Kyu
Hong, Hyuck Ki
Jo, Young Chang
Kim, Sung-Phil
author_sort Kim, Hanvit
collection PubMed
description Multimodal biometrics are promising for providing a strong security level for personal authentication, yet the implementation of a multimodal biometric system for practical usage need to meet such criteria that multimodal biometric signals should be easy to acquire but not easily compromised. We developed a wearable wrist band integrated with multispectral skin photomatrix (MSP) and electrocardiogram (ECG) sensors to improve the issues of collectability, performance and circumvention of multimodal biometric authentication. The band was designed to ensure collectability by sensing both MSP and ECG easily and to achieve high authentication performance with low computation, efficient memory usage, and relatively fast response. Acquisition of MSP and ECG using contact-based sensors could also prevent remote access to personal data. Personal authentication with multimodal biometrics using the integrated wearable wrist band was evaluated in 150 subjects and resulted in 0.2% equal error rate ([Formula: see text]) and 100% detection probability at 1% [Formula: see text] (false acceptance rate) ([Formula: see text]), which is comparable to other state-of-the-art multimodal biometrics. An additional investigation with a separate MSP sensor, which enhanced contact with the skin, along with ECG reached 0.1% [Formula: see text] and 100% [Formula: see text] , showing a great potential of our in-house wearable band for practical applications. The results of this study demonstrate that our newly developed wearable wrist band may provide a reliable and easy-to-use multimodal biometric solution for personal authentication.
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spelling pubmed-61118832018-08-30 A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors Kim, Hanvit Kim, Haena Chun, Se Young Kang, Jae-Hwan Oakley, Ian Lee, Youryang Ryu, Jun Oh Kim, Min Joon Park, In Kyu Hong, Hyuck Ki Jo, Young Chang Kim, Sung-Phil Sensors (Basel) Article Multimodal biometrics are promising for providing a strong security level for personal authentication, yet the implementation of a multimodal biometric system for practical usage need to meet such criteria that multimodal biometric signals should be easy to acquire but not easily compromised. We developed a wearable wrist band integrated with multispectral skin photomatrix (MSP) and electrocardiogram (ECG) sensors to improve the issues of collectability, performance and circumvention of multimodal biometric authentication. The band was designed to ensure collectability by sensing both MSP and ECG easily and to achieve high authentication performance with low computation, efficient memory usage, and relatively fast response. Acquisition of MSP and ECG using contact-based sensors could also prevent remote access to personal data. Personal authentication with multimodal biometrics using the integrated wearable wrist band was evaluated in 150 subjects and resulted in 0.2% equal error rate ([Formula: see text]) and 100% detection probability at 1% [Formula: see text] (false acceptance rate) ([Formula: see text]), which is comparable to other state-of-the-art multimodal biometrics. An additional investigation with a separate MSP sensor, which enhanced contact with the skin, along with ECG reached 0.1% [Formula: see text] and 100% [Formula: see text] , showing a great potential of our in-house wearable band for practical applications. The results of this study demonstrate that our newly developed wearable wrist band may provide a reliable and easy-to-use multimodal biometric solution for personal authentication. MDPI 2018-08-20 /pmc/articles/PMC6111883/ /pubmed/30127306 http://dx.doi.org/10.3390/s18082738 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Hanvit
Kim, Haena
Chun, Se Young
Kang, Jae-Hwan
Oakley, Ian
Lee, Youryang
Ryu, Jun Oh
Kim, Min Joon
Park, In Kyu
Hong, Hyuck Ki
Jo, Young Chang
Kim, Sung-Phil
A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors
title A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors
title_full A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors
title_fullStr A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors
title_full_unstemmed A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors
title_short A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors
title_sort wearable wrist band-type system for multimodal biometrics integrated with multispectral skin photomatrix and electrocardiogram sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111883/
https://www.ncbi.nlm.nih.gov/pubmed/30127306
http://dx.doi.org/10.3390/s18082738
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