Stress and workload assessment in aviation—a narrative review

G Masi, G Amprimo, C Ferraris, L Priano - Sensors, 2023 - mdpi.com
In aviation, any detail can have massive consequences. Among the potential sources of
failure, human error is still the most troublesome to handle. Therefore, research concerning …

Wearables for Stress Management: A Scoping Review

ML González Ramírez, JP García Vázquez… - Healthcare, 2023 - mdpi.com
In recent years, wearable devices have been increasingly used to monitor people's health.
This has helped healthcare professionals provide timely interventions to support their …

[HTML][HTML] An interpretable machine learning approach to multimodal stress detection in a simulated office environment

M Naegelin, RP Weibel, JI Kerr, VR Schinazi… - Journal of Biomedical …, 2023 - Elsevier
Background and objective: Work-related stress affects a large part of today's workforce and
is known to have detrimental effects on physical and mental health. Continuous and …

K-EmoPhone: A Mobile and Wearable Dataset with In-Situ Emotion, Stress, and Attention Labels

S Kang, W Choi, CY Park, N Cha, A Kim… - Scientific data, 2023 - nature.com
With the popularization of low-cost mobile and wearable sensors, several studies have used
them to track and analyze mental well-being, productivity, and behavioral patterns. However …

AI-enabled smart wristband providing real-time vital signs and stress monitoring

N Mitro, K Argyri, L Pavlopoulos, D Kosyvas… - Sensors, 2023 - mdpi.com
This work introduces the design, architecture, implementation, and testing of a low-cost and
machine-learning-enabled device to be worn on the wrist. The suggested wearable device …

Detecting social contexts from mobile sensing indicators in virtual interactions with socially anxious individuals

Z Wang, MA Larrazabal, M Rucker, ER Toner… - Proceedings of the …, 2023 - dl.acm.org
Mobile sensing is a ubiquitous and useful tool to make inferences about individuals' mental
health based on physiology and behavior patterns. Along with sensing features directly …

[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 …

Augmenting ECG data with multiple filters for a better emotion recognition system

MA Hasnul, NA Ab. Aziz, A Abd. Aziz - Arabian Journal for Science and …, 2023 - Springer
A physiological-based emotion recognition system (ERS) with a unimodal approach such as
an electrocardiogram (ECG) is not as popular compared to a multimodal approach …

[HTML][HTML] Detecting Prolonged Stress in Real Life Using Wearable Biosensors and Ecological Momentary Assessments: Naturalistic Experimental Study

R Tutunji, N Kogias, B Kapteijns, M Krentz… - Journal of Medical …, 2023 - jmir.org
Background Increasing efforts toward the prevention of stress-related mental disorders have
created a need for unobtrusive real-life monitoring of stress-related symptoms. Wearable …

A Just-In-Time Adaptive intervention (JITAI) for smoking cessation: Feasibility and acceptability findings

MJ Yang, SK Sutton, LM Hernandez, SR Jones… - Addictive …, 2023 - Elsevier
Smoking cessation treatments that are easily accessible and deliver intervention content at
vulnerable moments (eg, high negative affect) have great potential to impact tobacco …