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

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 compare...

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Bibliographic Details
Main Authors: Ahmed E. Khorshid, Ibrahim N. Alquaydheb, Fadi Kurdahi, Roger Piqueras Jover, Ahmed Eltawil
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
body area networks
channel gain/attenuation
channel modeling
galvanic coupling
intra-body communications
phantoms
tissue mimicking materials
ultralow power systems
Online Access:https://www.mdpi.com/1424-8220/20/5/1421

Internet

https://www.mdpi.com/1424-8220/20/5/1421

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