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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6111883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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