ISPAAD: integrated stress, physical activity, and amusement dataset
Publication date
2025-11-14
Document type
Konferenzbeitrag
Organisational unit
Conference
9th International Conference on Biomedical Engineering and Bioinformatics (ICBEB 2025) ; Prague, Czech Republic ; September 19-21, 2025
Publisher
EDP Sciences
Series or journal
BIO Web of Conferences
ISSN
Periodical volume
195
Article ID
01003
Part of the university bibliography
✅
Language
English
Abstract
Long-term stress exposure is a leading cause of sickness in adults and may even cause physiological issues such as heart diseases. Developing systems to detect and monitor stressful events based on physiological signals can help prevent stress-induced severe health implications. Research in this domain has shown that it is possible to reliably distinguish stress and its absence and differentiate between different types of stress. However, publicly available data in the stress detection domain is rare, which limits the research possibilities. Moreover, datasets are usually very heterogeneous owing to variations in experimental protocols and sensors used to record physiological signals, which limits the comparability. This work presents ISPAAD, an integrated stress, physical activity, and amusement dataset to overcome aforementioned limitations. The dataset is intended for stress detection, in-depth analysis of different stressors, and physical and affective states. The contributions of this paper are threefold: 1) the criteria to be considered for seamless data integration are outlined, 2) a vanilla data integration pipeline is introduced, and 3) a novel and multi-modal dataset is presented, bridging cognitive and socio-evaluative stress with physical activity as well as a positive affective state.
Description
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).
Version
Published version
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