Evaluation of PPG Biometrics for Authentication in different states

12/22/2017
by   Umang Yadav, et al.
0

Amongst all medical biometric traits, Photoplethysmograph (PPG) is the easiest to acquire. PPG records the blood volume change with just combination of Light Emitting Diode and Photodiode from any part of the body. With IoT and smart homes' penetration, PPG recording can easily be integrated with other vital wearable devices. PPG represents peculiarity of hemodynamics and cardiovascular system for each individual. This paper presents non-fiducial method for PPG based biometric authentication. Being a physiological signal, PPG signal alters with physical/mental stress and time. For robustness, these variations cannot be ignored. While, most of the previous works focused only on single session, this paper demonstrates extensive performance evaluation of PPG biometrics against single session data, different emotions, physical exercise and time-lapse using Continuous Wavelet Transform (CWT) and Direct Linear Discriminant Analysis (DLDA). When evaluated on different states and datasets, equal error rate (EER) of 0.5%-6% was achieved for 45-60s average training time. Our CWT/DLDA based technique outperformed all other dimensionality reduction techniques and previous work.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/28/2018

Ballistocardiogram-based Authentication using Convolutional Neural Networks

The goal of this work is to demonstrate the use of the ballistocardiogra...
research
02/28/2018

WACA: Wearable-Assisted Continuous Authentication

One-time login process in conventional authentication systems does not g...
research
04/15/2020

Seeing Red: PPG Biometrics Using Smartphone Cameras

In this paper, we propose a system that enables photoplethysmogram (PPG)...
research
06/30/2019

An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning

Traditional authentication systems use alphanumeric or graphical passwor...
research
11/16/2018

Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods

The Internet of Things (IoT) is increasingly empowering people with an i...
research
05/31/2020

Evaluation of biometric user authentication using an ensemble classifier with face and voice recognition

This paper presents a biometric user authentication system based on an e...
research
11/15/2021

Human-error-potential Estimation based on Wearable Biometric Sensors

This study tackles on a new problem of estimating human-error potential ...

Please sign up or login with your details

Forgot password? Click here to reset