The validity of physiological measures to identify differences in intrinsic cognitive load
A sample of 33 experiments was extracted from the Web-of-Science database over a 5-year
period (2016–2020) that used physiological measures to measure intrinsic cognitive load …
period (2016–2020) that used physiological measures to measure intrinsic cognitive load …
Pain and stress detection using wearable sensors and devices—A review
Pain is a subjective feeling; it is a sensation that every human being must have experienced
all their life. Yet, its mechanism and the way to immune to it is still a question to be …
all their life. Yet, its mechanism and the way to immune to it is still a question to be …
Graphene e-tattoos for unobstructive ambulatory electrodermal activity sensing on the palm enabled by heterogeneous serpentine ribbons
Electrodermal activity (EDA) is a popular index of mental stress. State-of-the-art EDA
sensors suffer from obstructiveness on the palm or low signal fidelity off the palm. Our …
sensors suffer from obstructiveness on the palm or low signal fidelity off the palm. Our …
Detecting emotions through electrodermal activity in learning contexts: A systematic review
There is a strong increase in the use of devices that measure physiological arousal through
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
[HTML][HTML] Biophilic office design: Exploring the impact of a multisensory approach on human well-being
Experiencing nature provides a multitude of health benefits. Biophilic design has emerged
as a design approach that aims to reconnect occupants with the natural environment. We …
as a design approach that aims to reconnect occupants with the natural environment. We …
Data quality evaluation in wearable monitoring
Wearable recordings of neurophysiological signals captured from the wrist offer enormous
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
[HTML][HTML] FLIRT: A feature generation toolkit for wearable data
Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
[HTML][HTML] Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography …
Construction equipment operations that require high levels of attention can cause mental
fatigue, which can lead to inefficiencies and accidents. Previous studies classified mental …
fatigue, which can lead to inefficiencies and accidents. Previous studies classified mental …
The association of work-related extended availability with recuperation, well-being, life domain balance and work: A meta-analysis
Work-related extended availability (WREA; the availability of employees for work-related
matters in their leisure time) seems to be associated with decreases in well-being and life …
matters in their leisure time) seems to be associated with decreases in well-being and life …
Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review
The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …
not only the physical state but also the mental health of the general population, particularly …