Multi-factor authentication: A survey

A Ometov, S Bezzateev, N Mäkitalo, S Andreev… - Cryptography, 2018 - mdpi.com
Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …

Unobtrusive vital sign monitoring in automotive environments—A review

S Leonhardt, L Leicht, D Teichmann - Sensors, 2018 - mdpi.com
This review provides an overview of unobtrusive monitoring techniques that could be used
to monitor some of the human vital signs (ie, heart activity, breathing activity, temperature …

A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals

PJ Bota, C Wang, ALN Fred, HP Da Silva - IEEE access, 2019 - ieeexplore.ieee.org
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …

Predicting computer network traffic: a time series forecasting approach using DWT, ARIMA and RNN

R Madan, PS Mangipudi - 2018 Eleventh International …, 2018 - ieeexplore.ieee.org
This paper proposes the Discrete Wavelet Transform (DWT), Auto Regressive Integrated
Moving Averages (ARIMA) model and Recurrent Neural Network (RNN) based technique for …

ECG databases for biometric systems: A systematic review

M Merone, P Soda, M Sansone, C Sansone - Expert Systems with …, 2017 - Elsevier
Computer-based biometric systems (CBBSs) individual recognition are expert and intelligent
systems that are gaining increasing interest in many areas, such as securing financial …

Survey and synthesis of state of the art in driver monitoring

A Halin, JG Verly, M Van Droogenbroeck - Sensors, 2021 - mdpi.com
Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

Biometric recognition: A systematic review on electrocardiogram data acquisition methods

TMC Pereira, RC Conceição, V Sencadas, R Sebastião - Sensors, 2023 - mdpi.com
In the last decades, researchers have shown the potential of using Electrocardiogram (ECG)
as a biometric trait due to its uniqueness and hidden nature. However, despite the great …

Unobtrusive health monitoring in private spaces: The smart vehicle

J Wang, JM Warnecke, M Haghi, TM Deserno - Sensors, 2020 - mdpi.com
Unobtrusive in-vehicle health monitoring has the potential to use the driving time to perform
regular medical check-ups. This work intends to provide a guide to currently proposed …

Check your biosignals here: A new dataset for off-the-person ECG biometrics

HP Da Silva, A Lourenço, A Fred, N Raposo… - Computer methods and …, 2014 - Elsevier
Abstract The Check Your Biosignals Here initiative (CYBHi) was developed as a way of
creating a dataset and consistently repeatable acquisition framework, to further extend …

BreathListener: Fine-grained breathing monitoring in driving environments utilizing acoustic signals

X Xu, J Yu, Y Chen, Y Zhu, L Kong, M Li - Proceedings of the 17th annual …, 2019 - dl.acm.org
Given the increasing amount of time people spent on driving, the physical and mental health
of drivers is essential to road safety. Breathing patterns are critical indicators of the well …