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Biometric Identity Based on Intra-Body Communication Channel Characteristics and Machine Learning

In this paper, we propose and validate using the Intra-body communications channel as a biometric identity. Combining experimental measurements collected from five subjects and two multi-layer tissue mimicking materials’ phantoms, different machine learning algorithms were used and compared to test...

詳細記述

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書誌詳細
出版年:Sensors (Basel)
主要な著者: Khorshid, Ahmed E., Alquaydheb, Ibrahim N., Kurdahi, Fadi, Jover, Roger Piqueras, Eltawil, Ahmed
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7085539/
https://ncbi.nlm.nih.gov/pubmed/32150911
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051421
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