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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| Format: | Article |
| Language: | English |
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MDPI AG
2018-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/8/2738 |
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| author | Hanvit Kim Haena Kim Se Young Chun Jae-Hwan Kang Ian Oakley Youryang Lee Jun Oh Ryu Min Joon Kim In Kyu Park Hyuck Ki Hong Young Chang Jo Sung-Phil Kim |
| author_facet | Hanvit Kim Haena Kim Se Young Chun Jae-Hwan Kang Ian Oakley Youryang Lee Jun Oh Ryu Min Joon Kim In Kyu Park Hyuck Ki Hong Young Chang Jo Sung-Phil Kim |
| author_sort | Hanvit Kim |
| collection | DOAJ |
| 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 ( EER ) and 100% detection probability at 1% FAR (false acceptance rate) ( PD . 1 ), 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% EER and 100% PD . 1 , 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. |
| first_indexed | 2024-04-11T13:41:44Z |
| format | Article |
| id | doaj.art-2fe4d39056cf42b892f534d2c4e03eee |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:41:44Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2fe4d39056cf42b892f534d2c4e03eee2022-12-22T04:21:14ZengMDPI AGSensors1424-82202018-08-01188273810.3390/s18082738s18082738A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram SensorsHanvit Kim0Haena Kim1Se Young Chun2Jae-Hwan Kang3Ian Oakley4Youryang Lee5Jun Oh Ryu6Min Joon Kim7In Kyu Park8Hyuck Ki Hong9Young Chang Jo10Sung-Phil Kim11Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, KoreaHuman Care System Research Center, Korea Electronics Technology Institute (KETI), Seongnam 13509, KoreaDepartment of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, KoreaDepartment of Human Factors Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, KoreaDepartment of Human Factors Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, KoreaDepartment of Human Factors Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, KoreaResearch Institute of H3 System, Daejeon 34036, KoreaResearch Institute of H3 System, Daejeon 34036, KoreaResearch Institute of H3 System, Daejeon 34036, KoreaHuman Care System Research Center, Korea Electronics Technology Institute (KETI), Seongnam 13509, KoreaHuman Care System Research Center, Korea Electronics Technology Institute (KETI), Seongnam 13509, KoreaDepartment of Human Factors Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, KoreaMultimodal 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 ( EER ) and 100% detection probability at 1% FAR (false acceptance rate) ( PD . 1 ), 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% EER and 100% PD . 1 , 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.http://www.mdpi.com/1424-8220/18/8/2738multimodal biometricsmultispectral skin photomatrixECGmajority votingintegrated wearable device |
| spellingShingle | Hanvit Kim Haena Kim Se Young Chun Jae-Hwan Kang Ian Oakley Youryang Lee Jun Oh Ryu Min Joon Kim In Kyu Park Hyuck Ki Hong Young Chang Jo Sung-Phil Kim A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors Sensors multimodal biometrics multispectral skin photomatrix ECG majority voting integrated wearable device |
| 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 | multimodal biometrics multispectral skin photomatrix ECG majority voting integrated wearable device |
| url | http://www.mdpi.com/1424-8220/18/8/2738 |
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