Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning

Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning

In this study, the optimal features of electrocardiogram (ECG) signals were investigated for the implementation of a personal authentication system using a reinforcement learning (RL) algorithm. ECG signals were recorded from 11 subjects for 6 days. Consecutive 5-day datasets (from the 1st to the 5t...

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Bibliographic Details
Main Authors: Suwhan Baek, Juhyeong Kim, Hyunsoo Yu, Geunbo Yang, Illsoo Sohn, Youngho Cho, Cheolsoo Park
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
ECG
authentication
biometrics
reinforcement learning
feature selection
hyperparameter optimization
Online Access:https://www.mdpi.com/1424-8220/23/3/1230

Internet

https://www.mdpi.com/1424-8220/23/3/1230

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