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 …

AutoSense: unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field

E Ertin, N Stohs, S Kumar, A Raij, M Al'Absi… - Proceedings of the 9th …, 2011 - dl.acm.org
The effect of psychosocial stress on health has been a central focus area of public health
research. However, progress has been limited due a to lack of wearable sensors that can …

Continuous inference of psychological stress from sensory measurements collected in the natural environment

K Plarre, A Raij, SM Hossain, AA Ali… - Proceedings of the …, 2011 - ieeexplore.ieee.org
Repeated exposures to psychological stress can lead to or worsen diseases of slow
accumulation such as heart diseases and cancer. The main challenge in addressing the …

Semi-supervised learning for wearable-based momentary stress detection in the wild

H Yu, A Sano - Proceedings of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Physiological and behavioral data collected from wearable or mobile sensors have been
used to estimate self-reported stress levels. Since stress annotation usually relies on self …

Individualized stress mobile sensing using self-supervised pre-training

T Islam, P Washington - Applied Sciences, 2023 - mdpi.com
Stress is widely recognized as a major contributor to a variety of health issues. Stress
prediction using biosignal data recorded by wearables is a key area of study in mobile …

Personalization of stress mobile sensing using self-supervised learning

T Islam, P Washington - arXiv preprint arXiv:2308.02731, 2023 - arxiv.org
Stress is widely recognized as a major contributor to a variety of health issues. Stress
prediction using biosignal data recorded by wearables is a key area of study in mobile …

Comparing the predictability of sensor modalities to detect stress from wearable sensor data

R Holder, RK Sah, M Cleveland… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
Detecting stress from wearable sensor data enables those struggling with unhealthy stress
coping mechanisms to better manage their stress. Previous studies have investigated how …

The effect of person-specific biometrics in improving generic stress predictive models

K Nkurikiyeyezu, A Yokokubo, G Lopez - arXiv preprint arXiv:1910.01770, 2019 - arxiv.org
Because stress is subjective and is expressed differently from one person to another,
generic stress prediction models (ie, models that predict the stress of any person) perform …

cStress: towards a gold standard for continuous stress assessment in the mobile environment

K Hovsepian, M Al'Absi, E Ertin, T Kamarck… - Proceedings of the …, 2015 - dl.acm.org
Recent advances in mobile health have produced several new models for inferring stress
from wearable sensors. But, the lack of a gold standard is a major hurdle in making clinical …

Investigating the role of context in perceived stress detection in the wild

V Mishra, T Hao, S Sun, KN Walter, MJ Ball… - Proceedings of the …, 2018 - dl.acm.org
The advances in mobile and wearable sensing have led to a myriad of approaches for stress
detection in both laboratory and free-living settings. Most of these methods, however, rely on …