Investigating Functional Data Analysis for Wearable Physiological Sensor Data in Stress Evaluation Article Swipe
Luca Carmisciano
,
Tobia Boschi
,
Francesca Chiaromonte
,
Franca Delmastro
,
Andrea Vandin
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/iscc61673.2024.10733576
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/iscc61673.2024.10733576
Measuring stress level objectively is crucial for personalized health monitoring. While traditional methods require a clinical setting, wearables provide a valuable alternative. In this paper, we approach stress assessment as a regression task, focusing on stress exposure, and evaluate Functional Data Analysis (FDA) to extract richer information from physiological signals. We apply scalar-on-function regression and functional clustering to WESAD, a public dataset which contains signals from wearables and psychometric questionnaires that we use as a ground truth for stress. We compare the results obtained by applying FDA with those achieved by methods using features extracted from signals rather than the signals themselves. The comparison reveals that FDA excels in capturing signal variations and their association with stress, offering new insights into how this association changes with different stressful activities. While non-functional techniques suffice for some analyses, FDA is key to capture overtime patterns linked to stress levels.
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- Type
- article
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- en
- Landing Page
- http://doi.org/10.1109/iscc61673.2024.10733576
- OA Status
- green
- References
- 28
- Related Works
- 10
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- https://openalex.org/W4403937252
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https://openalex.org/W4403937252Canonical identifier for this work in OpenAlex
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https://doi.org/10.1109/iscc61673.2024.10733576Digital Object Identifier
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Investigating Functional Data Analysis for Wearable Physiological Sensor Data in Stress EvaluationWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-06-26Full publication date if available
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Luca Carmisciano, Tobia Boschi, Francesca Chiaromonte, Franca Delmastro, Andrea VandinList of authors in order
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https://doi.org/10.1109/iscc61673.2024.10733576Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://hdl.handle.net/11382/578339Direct OA link when available
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Wearable computer, Stress (linguistics), Computer science, Embedded system, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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28Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.association | 114, 123 |
| abstract_inverted_index.information | 46 |
| abstract_inverted_index.monitoring. | 9 |
| abstract_inverted_index.objectively | 3 |
| abstract_inverted_index.themselves. | 101 |
| abstract_inverted_index.traditional | 11 |
| abstract_inverted_index.alternative. | 21 |
| abstract_inverted_index.personalized | 7 |
| abstract_inverted_index.psychometric | 68 |
| abstract_inverted_index.physiological | 48 |
| abstract_inverted_index.non-functional | 130 |
| abstract_inverted_index.questionnaires | 69 |
| abstract_inverted_index.scalar-on-function | 52 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.2287135 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |