Review of studies on emotion recognition and judgment based on physiological signals

W Lin, C Li - Applied Sciences, 2023 - mdpi.com
People's emotions play an important part in our daily life and can not only reflect
psychological and physical states, but also play a vital role in people's communication …

Machine learning techniques for arousal classification from electrodermal activity: A systematic review

R Sánchez-Reolid, F López de la Rosa… - Sensors, 2022 - mdpi.com
This article introduces a systematic review on arousal classification based on electrodermal
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …

Driver attention assessment using physiological measures from EEG, ECG, and EDA signals

T Aminosharieh Najafi, A Affanni, R Rinaldo, P Zontone - Sensors, 2023 - mdpi.com
In this paper, we consider the evaluation of the mental attention state of individuals driving in
a simulated environment. We tested a pool of subjects while driving on a highway and trying …

[HTML][HTML] Advanced Necklace for Real-Time PPG Monitoring in Drivers

A Lo Grasso, P Zontone, R Rinaldo, A Affanni - Sensors, 2024 - mdpi.com
Monitoring heart rate (HR) through photoplethysmography (PPG) signals is a challenging
task due to the complexities involved, even during routine daily activities. These signals can …

Measurement and Quantification of Stress in the Decision Process: A Model-Based Systematic Review

C Su, M Zangeneh Soroush… - Intelligent …, 2024 - spj.science.org
This systematic literature review comprehensively assesses the measurement and
quantification of decisional stress using a model-based, theory-driven approach. It adopts a …

Design and Realization of a Wearable Necklace for the Assessment of Driver Well-Being Through Heart Rate and Blood Oxygen Saturation Monitoring

A Affanni, R Rinaldo - 2024 IEEE International Workshop on …, 2024 - ieeexplore.ieee.org
This paper presents the design and implementation of a wearable sensor necklace for
monitoring the well-being of drivers, focusing on heart rate (HR) and blood oxygen …

Drivers' Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks

T Aminosharieh Najafi, A Affanni, R Rinaldo, P Zontone - Sensors, 2023 - mdpi.com
In this paper, we present a comprehensive assessment of individuals' mental engagement
states during manual and autonomous driving scenarios using a driving simulator. Our study …

On the mismatch between measured and perceived sleep quality

L Alecci, N Abdalazim, L Alchieri, S Gashi… - Adjunct Proceedings of …, 2022 - dl.acm.org
Sleep quality has a significant impact on human's physical and mental well-being. While
there exist several definitions of what makes a good quantity and quality of sleep, such …

Smart car system: automobile driver's stress recognition with artificial neural networks

M Vaezi, M Nasri, F Azimifar - Journal of Simulation and Analysis of …, 2023 - jsme.khsh.iau.ir
Nowadays, the world needs safe and smart machines that can prevent human errors in
different situations. Stress is an important factor in accidents which causes the human error …

Preliminary Investigation of the Association Between Driving Pleasure and Brain Activity with Mapper-based Topological Data Analysis

S Isojima, K Tanioka, T Hiroyasu, S Hiwa - International Journal of …, 2023 - Springer
This study explores the factors contributing to driving pleasure by analyzing multimodal data,
including physiological, behavioral, and psychological measures. The Mapper method is …