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Kim, Sung-Phil
Brain-Computer Interface (BCI) Lab
Research Interests
  • Brain-computer interface, Statistical Signal Processing, Neural Code, Neuromarketing

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

DC FieldValueLanguage
dc.contributor.authorKim, Hanvitko
dc.contributor.authorKim, Haenako
dc.contributor.authorChun, Se Youngko
dc.contributor.authorKang, Jae-Hwanko
dc.contributor.authorOakley, Ianko
dc.contributor.authorLee, Youryangko
dc.contributor.authorRyu, Jun Ohko
dc.contributor.authorKim, Min Joonko
dc.contributor.authorPark, In Kyuko
dc.contributor.authorHong, Hyuk Giko
dc.contributor.authorJo, Young Changko
dc.contributor.authorKim, Sung-Philko
dc.date.available2018-09-14T00:51:04Z-
dc.date.created2018-09-11ko
dc.date.issued201808ko
dc.identifier.citationSENSORS, v.18, no.8, pp.2738 -ko
dc.identifier.issn1424-8220ko
dc.identifier.urihttp://scholarworks.unist.ac.kr/handle/201301/24753-
dc.identifier.urihttp://www.mdpi.com/1424-8220/18/8/2738ko
dc.description.abstractMultimodal 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.ko
dc.languageENGko
dc.publisherMDPI AGko
dc.subjectmultimodal biometricsko
dc.subjectmultispectral skin photomatrixko
dc.subjectECGko
dc.subjectmajority votingko
dc.subjectintegrated wearable deviceko
dc.titleA Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensorsko
dc.typeARTICLEko
dc.identifier.pid1289null
dc.identifier.pid1522null
dc.identifier.pid1403null
dc.identifier.rimsid30977ko
dc.identifier.scopusid2-s2.0-85052151422ko
dc.identifier.wosid000445712400338ko
dc.type.rimsAko
dc.identifier.doihttp://dx.doi.org/10.3390/s18082738ko
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