[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey

YS Can, B Arnrich, C Ersoy - Journal of biomedical informatics, 2019 - Elsevier
Stress has become a significant cause for many diseases in the modern society. Recently,
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …

Review on smart electro-clothing systems (SeCSs)

AS Muhammad Sayem, S Hon Teay, H Shahariar… - Sensors, 2020 - mdpi.com
This review paper presents an overview of the smart electro-clothing systems (SeCSs)
targeted at health monitoring, sports benefits, fitness tracking, and social activities. Technical …

[HTML][HTML] Monitoring stress with a wrist device using context

M Gjoreski, M Luštrek, M Gams, H Gjoreski - Journal of biomedical …, 2017 - Elsevier
Being able to detect stress as it occurs can greatly contribute to dealing with its negative
health and economic consequences. However, detecting stress in real life with an …

Driver stress detection via multimodal fusion using attention-based CNN-LSTM

L Mou, C Zhou, P Zhao, B Nakisa, MN Rastgoo… - Expert Systems with …, 2021 - Elsevier
Stress has been identified as one of major contributing factors in car crashes due to its
negative impact on driving performance. It is in urgent need that the stress levels of drivers …

Evaluation of an integrated system of wearable physiological sensors for stress monitoring in working environments by using biological markers

S Betti, RM Lova, E Rovini, G Acerbi… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Objective: The objectives of this paper are to develop and test the ability of a wearable
physiological sensors system, based on ECG, EDA, and EEG, to capture human stress and …

Automatic driver stress level classification using multimodal deep learning

MN Rastgoo, B Nakisa, F Maire, A Rakotonirainy… - Expert Systems with …, 2019 - Elsevier
Stress has been identified as one of the contributing factors to vehicle crashes which create
a significant cost in terms of loss of life and productivity for governments and societies …

PortoLivingLab: An IoT-based sensing platform for smart cities

PM Santos, JGP Rodrigues, SB Cruz… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Smart cities aim to improve the citizens' quality of life by leveraging information about urban
scale processes extracted from heterogeneous data sources collected on city-wide …

Heart rate variability metrics for fine-grained stress level assessment

T Pereira, PR Almeida, JPS Cunha, A Aguiar - Computer methods and …, 2017 - Elsevier
Abstract Background and Objectives: In spite of the existence of a multitude of techniques
that allow the estimation of stress from physiological indexes, its fine-grained assessment is …

Digital phenoty** of generalized anxiety disorder: using artificial intelligence to accurately predict symptom severity using wearable sensors in daily life

NC Jacobson, B Feng - Translational Psychiatry, 2022 - nature.com
Background Generalized anxiety disorder (GAD) is a highly prevalent condition. Monitoring
GAD symptoms requires substantial time, effort, and cost. The development of digital …

Spatiotemporal event detection: A review

M Yu, M Bambacus, G Cervone, K Clarke… - … Journal of Digital …, 2020 - Taylor & Francis
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …