435 citations · 796 across the 18 of their papers we have counts for
4 papers · 1 filter
Deep User Identification Model with Multiple Biometrics
Hyoung-Kyu Song, Ebrahim AlAlkeem, Jaewoong Yun +5
Identification using biometrics is an important yet challenging task. Abundant research has been conducted on identifying personal identity or gender using given signals. Various t…
An Enhanced Machine Learning-based Biometric Authentication System Using RR-Interval Framed Electrocardiograms
Amang Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo
This paper is targeted in the area of biometric data enabled security system based on the machine learning for the digital health. The disadvantages of traditional authentication s…
An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning
Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun +3
Traditional authentication systems use alphanumeric or graphical passwords, or token-based techniques that require "something you know and something you have". The disadvantages of…
A Machine Learning Framework for Biometric Authentication using Electrocardiogram
Song-Kyoo Kim, Chan Yeob Yeun, Ernesto Damiani +1
This paper introduces a framework for how to appropriately adopt and adjust Machine Learning (ML) techniques used to construct Electrocardiogram (ECG) based biometric authenticatio…