[HTML][HTML] Sensors for daily life: A review

M Javaid, A Haleem, S Rab, RP Singh, R Suman - Sensors International, 2021 - Elsevier
Sensor technologies have improved the everyday life of human beings through their
applications in almost all fields. Sensors are devices that detect changes in the …

[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review

G Vos, K Trinh, Z Sarnyai, MR Azghadi - International Journal of Medical …, 2023 - Elsevier
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …

Privacy-preserving federated deep learning for wearable IoT-based biomedical monitoring

YS Can, C Ersoy - ACM Transactions on Internet Technology (TOIT), 2021 - dl.acm.org
IoT devices generate massive amounts of biomedical data with increased digitalization and
development of the state-of-the-art automated clinical data collection systems. When …

Control, anxiety and test performance: Self‐reported and physiological indicators of anxiety as mediators

AL Roos, T Goetz, M Krannich… - British Journal of …, 2023 - Wiley Online Library
Background This study investigated the role of different test anxiety components (affective,
cognitive, motivational and physiological) as mediators between control and performance as …

Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection

F Larradet, R Niewiadomski, G Barresi… - Frontiers in …, 2020 - frontiersin.org
Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …

Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview

YS Can, B Mahesh, E André - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …

Toward robust stress prediction in the age of wearables: Modeling perceived stress in a longitudinal study with information workers

BM Booth, H Vrzakova, SM Mattingly… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Given the widespread adverse outcomes of stress–exacerbated by the current pandemic–
wearable sensing provides unique opportunities for automated stress tracking to inform well …

Measurement of multimodal physiological signals for stimulation detection by wearable devices

G Cosoli, A Poli, L Scalise, S Spinsante - Measurement, 2021 - Elsevier
The presence of stimuli and the consequent reactions undoubtedly reflect in experience-
related changes of physiological parameters, which can be monitored by wearable devices …

The feasibility of wearable and self-report stress detection measures in a semi-controlled lab environment

S Aristizabal, K Byun, N Wood, AF Mullan… - IEEE …, 2021 - ieeexplore.ieee.org
Workplace-related stressors, economic strain, and lack of access to educational and basic
needs have exacerbated feelings of stress in the United States. Ongoing stress can result in …

[HTML][HTML] Cross dataset analysis for generalizability of HRV-based stress detection models

M Benchekroun, PE Velmovitsky, D Istrate, V Zalc… - Sensors, 2023 - mdpi.com
Stress is an increasingly prevalent mental health condition across the world. In Europe, for
example, stress is considered one of the most common health problems, and over USD 300 …