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Dataset Information

Assessing the added value of context during stress detection from wearable data.


ABSTRACT:

Background

Insomnia, eating disorders, heart problems and even strokes are just some of the illnesses that reveal the negative impact of stress overload on health and well-being. Early detection of stress is therefore of utmost importance. Whereas the gold-standard for detecting stress is by means of questionnaires, more recent work uses wearable sensors to find continuous and qualitative physical markers of stress. As some physiological stress responses, e.g. increased heart rate or sweating and chills, might also occur when doing sports, a more profound approach is needed for stress detection than purely considering physiological data.

Methods

In this paper, we analyse the added value of context information during stress detection from wearable data. We do so by comparing

SUBMITTER: Stojchevska M 

PROVIDER: S-EPMC9571684 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature