Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors
Open accessAbstract
Skin conductivity (i.e., sweat) forms the basis of many physiology-based emotion and stress detection systems. However, such systems typically do not detect the biomarkers present in sweat, and thus do not take advantage of the biological information in the sweat. Likewise, such systems do not detect the volatile organic components (VOC’s) created under stressful conditions. This work presents a review into the current status of human emotional stress biomarkers and proposes the major potential biomarkers for future wearable sensors in affective systems. Emotional stress has been classified as a major contributor in several social problems, related to crime, health, the economy, and indeed quality of life. While blood cortisol tests, electroencephalography and physiological parameter methods are the gold standards for measuring stress; however, they are typically invasive or inconvenient and not suitable for wearable real-time stress monitoring. Alternatively, cortisol in biofluids and VOCs emitted from the skin appear to be practical and useful markers for sensors to detect emotional stress events. This work has identified antistress hormones and cortisol metabolites as the primary stress biomarkers that can be used in future sensors for wearable affective systems.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Apocrine areas such as axillary areas are responsive to emotional sweating, and apocrine glands are activated by adrenergic stimulation and strongly respond to emotions such as stress.
“The apocrine areas, such as the axillary areas are reported to be responsive to emotional sweating and the apocrine glands are activated by adrenergic stimulation and strongly respond to emotions such as stress.[ 33 ]”
From MicroSweat: A wearable microfluidic patch for noninvasive and reliable sweat collection enables human stress monitoring (2023) · cites this paper as [33]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Parlak, O., Keene, S. T., Marais, A., Curto, V. F., & Salleo, A. (2018) · Science Advances · doi:10.1126/sciadv.aar2904 · Cited by 603 · cited 9× · see citing works
“24 μM N/A Yes [42] Cortisol Cortisol antibodies N/A 1–3 μL Yes [43] Cortisol Cortisol aptamers 1 ng/mL N/A Yes [44] Cortisol E-nose 5 mL–50 mL N/A Yes [45] Cortisol MIPs 0.”
BackgroundMethodInfluentialJia, M., Chew, W. M., Feinstein, Y., Skeath, P., & Sternberg, E. M. (2016) · The Analyst · doi:10.1039/c5an02387d · Cited by 113 · see citing works
Changes in Facets of Mindfulness Predict Stress and Anger Outcomes for Police Officers
Bergman, A. L., Christopher, M. S., & Bowen, S. (2016) · Mindfulness · doi:10.1007/s12671-016-0522-z · Cited by 70 · see citing works
Rapid Stress System Drives Chemical Transfer of Fear from Sender to Receiver
de Groot, J. H. B., Smeets, M. A. M., & Semin, G. R. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118211 · Cited by 50 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Machine Learning and AI Technologies for Smart Wearables
Seng, K. P., Ang, L.-M., Peter, E., & Mmonyi, A. (2023) · Electronics · doi:10.3390/electronics12071509 · Cited by 90 · see citing works
Shajari, S., Salahandish, R., Zare, A., Hassani, M., Moossavi, S., Munro, E., Rashid, R., Rosenegger, D., Bains, J. S., & Sanati Nezhad, A. (2023) · Advanced Science · doi:10.1002/advs.202204171 · Cited by 55 · see citing works
- Authors
- Zamkah, A., Hui, T., Andrews, S., Dey, N., Shi, F., & Sherratt, R. S.
- Affiliations
- University of Reading (GB)
- Techno India Group (India) (IN)
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Sherratt, R. Simon
- Venue
- Biosensors
- Publisher
- MDPI AG
- Published
- 2020-04-16
- Volume
- 10
- Issue
- 4
- Pages
- 40
- ISSN
- 2079-6374 (ISSN-L)
- PMC
- PMC7235866
- OpenAlex
- W3017363702
- Cited by
- 110
- References
- 4
- Citations by year
- 2026: 9 · 2025: 18 · 2024: 18 · 2023: 21 · 2022: 18 · 2021: 19 · 2020: 7
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Biosensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- CentAUR (University of Reading) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Saudi Arabia Cultural Bureau in London (1026378974)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- stress biomarkers, emotion recognition, wearable sensors, affective computing, skin conductance, sweat, volatile organic compounds, cortisol, cortisol metabolites, real-time stress monitoring
- MeSH terms
- Wearable Electronic Devices, Emotions, Humans, Stress, Psychological, Biomarkers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review